Difference between revisions of "Fellow:Sine Nitish"

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|[[File:Nitish profile picture 1.jpg|center|frameless|283x283px|alt=Sine Nitish]]
 
|[[File:Nitish profile picture 1.jpg|center|frameless|283x283px|alt=Sine Nitish]]
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;Name: Sine Nitish
 
;Name: Sine Nitish
 +
 
;School (Cohort): Madanapalle Institute of Technology and Science (2021 cohort)
 
;School (Cohort): Madanapalle Institute of Technology and Science (2021 cohort)
 +
 
;Majoring in: Computer Science and Engineering (CSE)
 
;Majoring in: Computer Science and Engineering (CSE)
 +
 
;Country: India
 
;Country: India
 +
 
;Email: [[Special:EmailUser/Sine.nitish|Contact Sine Nitish]] ;Occupation: AI/ML Engineer, Full-Stack Developer
 
;Email: [[Special:EmailUser/Sine.nitish|Contact Sine Nitish]] ;Occupation: AI/ML Engineer, Full-Stack Developer
 +
 
;Employer: CommandHQ <small>(June 2024 – Dec 2024)</small>
 
;Employer: CommandHQ <small>(June 2024 – Dec 2024)</small>
 +
 
;Known for: {{Plainlist|
 
;Known for: {{Plainlist|
 +
 
* Research in AI for stroke prediction
 
* Research in AI for stroke prediction
 +
 
* MITS CODE platform founder
 
* MITS CODE platform founder
−
* [[University Innovation Fellows|University Innovation Fellow]]
+
 
 +
* University Innovation Fellow
 +
 
 
}}
 
}}
 +
 
;Awards: {{Plainlist|
 
;Awards: {{Plainlist|
 +
 
* Best Student Paper Award, ICDSAI (2023)
 
* Best Student Paper Award, ICDSAI (2023)
 +
 
}}
 
}}
 +
 
;Website: {{URL|https://www.linkedin.com/in/sine-nitish-b9b421204}}
 
;Website: {{URL|https://www.linkedin.com/in/sine-nitish-b9b421204}}
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|}
 
|}
  
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'''Sine Nitish''' is an Indian [[Artificial intelligence|AI]]/[[Machine learning|ML]] Engineer and [[Full-stack developer]], who worked at CommandHQ from June to December 2024. He is known for his work in applying artificial intelligence to healthcare challenges, particularly in stroke prediction, and for his contributions to software development and innovation during his academic career. Nitish completed his Bachelor of Technology in Computer Science and Engineering from the Madanapalle Institute of Technology and Science in May 2024, graduating with First Class with Distinction. His research has been recognized with awards such as the Best Student Paper Award at the International Conference on Data Science and Artificial Intelligence (ICDSAI) in 2023, and he was selected as a [[University Innovation Fellows|University Innovation Fellow]] by Stanford University's Hasso Plattner Institute of Design (d.school).
+
 
 +
 
 +
'''Sine Nitish''' is an Indian AI/ML Engineer and Full-stack developer, who worked at CommandHQ from June to December 2024. He is known for his work in applying artificial intelligence to healthcare challenges, particularly in stroke prediction, and for his contributions to software development and innovation during his academic career. Nitish completed his Bachelor of Technology in Computer Science and Engineering from the Madanapalle Institute of Technology and Science in May 2024, graduating with First Class with Distinction. His research has been recognized with awards such as the Best Student Paper Award at the International Conference on Data Science and Artificial Intelligence (ICDSAI) in 2023, and he was selected as a University Innovation Fellow by Stanford University's Hasso Plattner Institute of Design (d.school).
 +
 
 +
 
  
 
==Early Life and Education==
 
==Early Life and Education==
−
Nitish hails from [[Visakhapatnam]] in the state of [[Andhra Pradesh]], India. During his schooling, he reportedly served as a school pupil leader and was involved with [[The Bharat Scouts and Guides]]. Nitish pursued a [[Bachelor of Technology]] (B.Tech) in Computer Science & Engineering at the [[Madanapalle Institute of Technology and Science]] (MITS), graduating in May 2024 with First Class with Distinction and a CGPA of 9.16/10.
 
  
−
While at MITS, Nitish was selected as a [[University Innovation Fellows|University Innovation Fellow]] (UIF), a global initiative by [[Stanford University]]'s [[Hasso Plattner Institute of Design]] (d.school). This program involved intensive training in [[design thinking]], leadership, and entrepreneurial problem-solving. As a fellow, he led campus transformation initiatives, including organizing a Rapid Design Thinking workshop that engaged over 600 students, faculty, and government school students. His contributions through the UIF program were recognized in Stanford's "Change Forward" Journal. The selection of MITS students, including Nitish, for this program garnered local media attention, highlighting the opportunity for students to engage with innovation ecosystems and leading tech environments.
+
Nitish hails from Visakhapatnam in the state of Andhra Pradesh, India. During his schooling, he reportedly served as a school pupil leader and was involved with The Bharat Scouts and Guides. Nitish pursued a Bachelor of Technology (B.Tech) in Computer Science & Engineering at the Madanapalle Institute of Technology and Science (MITS), graduating in May 2024 with First Class with Distinction and a CGPA of 9.16/10.
 +
 
 +
 
 +
 
 +
While at MITS, Nitish was selected as a University Innovation Fellow (UIF), a global initiative by Stanford University's Hasso Plattner Institute of Design (d.school). This program involved intensive training in design thinking, leadership, and entrepreneurial problem-solving. As a fellow, he led campus transformation initiatives, including organizing a Rapid Design Thinking workshop that engaged over 600 students, faculty, and government school students. His contributions through the UIF program were recognized in Stanford's "Change Forward" Journal. The selection of MITS students, including Nitish, for this program garnered local media attention, highlighting the opportunity for students to engage with innovation ecosystems and leading tech environments.
 +
 
 +
 
  
 
==Career==
 
==Career==
 +
 
Nitish's career began with a series of impactful research and development internships, followed by a professional role focusing on AI/ML engineering and full-stack development. His experience demonstrates a consistent application of technical skills to create practical solutions with measurable outcomes.
 
Nitish's career began with a series of impactful research and development internships, followed by a professional role focusing on AI/ML engineering and full-stack development. His experience demonstrates a consistent application of technical skills to create practical solutions with measurable outcomes.
 +
 +
  
 
===Professional Experience===
 
===Professional Experience===
 +
 
====AI/ML Engineer & Full-Stack Developer====
 
====AI/ML Engineer & Full-Stack Developer====
−
'''CommandHQ''', [[Coimbatore]], India <small>(June 2024 – December 2024)</small>
+
 
−
* Engineered a system for [[vehicle detection]] using [[YOLO (algorithm)|YOLOv5]] and [[PaddleOCR]], which reportedly achieved 95% accuracy and reduced manual review processes by 70%.
+
'''CommandHQ''', Coimbatore, India <small>(June 2024 – December 2024)</small>
−
* Contributed to the development of an AI-driven [[Threat model|threat prediction]] system using [[FastAPI]] and [[AWS Lambda]], achieving 90% accuracy. This system, featuring a secure [[Next.js]] user interface with [[NextAuth.js|Next Auth]], was reportedly adopted by the [[Indian Army]].  
+
 
 +
* Engineered a system for vehicle detection using YOLOv5 and PaddleOCR, which reportedly achieved 95% accuracy and reduced manual review processes by 70%.
 +
 
 +
* Contributed to the development of an AI-driven threat prediction system using FastAPI and AWS Lambda, achieving 90% accuracy. This system, featuring a secure Next.js user interface with Next Auth, was reportedly adopted by the Indian Army.  
 +
 
 
===Internships===
 
===Internships===
 +
 
====Research Intern, AI & Audio Processing====
 
====Research Intern, AI & Audio Processing====
 +
 
'''REDS Institute, HES-SO''', Yverdon-les-Bains, Switzerland <small>(December 2023 – May 2024)</small>
 
'''REDS Institute, HES-SO''', Yverdon-les-Bains, Switzerland <small>(December 2023 – May 2024)</small>
 +
 
* Focused on "Sentiment Analysis of Music using MFCC Features and RNN" under the supervision of Prof. Cédric Bornand.
 
* Focused on "Sentiment Analysis of Music using MFCC Features and RNN" under the supervision of Prof. Cédric Bornand.
−
* Developed a model achieving 90% accuracy in music [[Emotion classification#Music emotion recognition|sentiment classification]].
+
 
 +
* Developed a model achieving 90% accuracy in music sentiment classification.
 +
 
 
* Improved audio processing pipeline efficiency by 30% through feature optimization.
 
* Improved audio processing pipeline efficiency by 30% through feature optimization.
 +
 
* Gained exposure to international research practices.
 
* Gained exposure to international research practices.
 +
 +
  
 
====Web Development Intern====
 
====Web Development Intern====
−
'''[[National Institute of Technical Teachers Training and Research, Chennai|NITTTR, Chennai]]''' <small>(July 2023 – August 2023)</small>
+
 
−
* Worked at the Centre for Rural and Entrepreneurship Development, under the [[Ministry of Education (India)|Ministry of Education, Govt. of India]].
+
'''NITTTR, Chennai''' <small>(July 2023 – August 2023)</small>
−
* Developed and launched a web portal for [[rural entrepreneurship]] using [[React (JavaScript library)|React]], FastAPI, and [[PostgreSQL]], which scaled to support over 1,500 users.
+
 
−
* Commended for improving [[user experience]] by 40% using [[Tailwind CSS]] and implementing secure login functionalities with [[OAuth#OAuth 2.0|OAuth2]] & [[JSON Web Token|JWT]].
+
* Worked at the Centre for Rural and Entrepreneurship Development, under the Ministry of Education, Govt. of India.
 +
 
 +
* Developed and launched a web portal for rural entrepreneurship using React, FastAPI, and PostgreSQL, which scaled to support over 1,500 users.
 +
 
 +
* Commended for improving user experience by 40% using Tailwind CSS and implementing secure login functionalities with OAuth2 & JWT.
 +
 
 +
 
  
 
====Deep Learning Intern====
 
====Deep Learning Intern====
−
'''[[Indian Institute of Information Technology, Surat|IIIT Surat]]''' <small>(June 2022 – August 2022)</small>
+
 
−
* Focused on enhancing [[Convolutional neural network|CNN]]/[[Recurrent neural network|RNN]] classification models.
+
'''IIIT Surat''' <small>(June 2022 – August 2022)</small>
−
* Applied [[Bayesian optimization]] to improve model performance by 15%.
+
 
−
* Used advanced [[Data augmentation|data augmentation]] techniques to reduce [[overfitting]] by 25%.
+
* Focused on enhancing CNN/RNN classification models.
 +
 
 +
* Applied Bayesian optimization to improve model performance by 15%.
 +
 
 +
* Used advanced data augmentation techniques to reduce overfitting by 25%.
 +
 
 
* Recognized for punctuality, creativity, and technical skills.
 
* Recognized for punctuality, creativity, and technical skills.
 +
 +
  
 
==Research and Projects==
 
==Research and Projects==
 +
 
Nitish has been involved in several research projects and development initiatives, demonstrating an early aptitude for innovation and problem-solving.
 
Nitish has been involved in several research projects and development initiatives, demonstrating an early aptitude for innovation and problem-solving.
 +
 +
  
 
===Stroke Complication Prediction Model===
 
===Stroke Complication Prediction Model===
−
Nitish engineered a [[neural network]] model based on [[Multilayer perceptron|Multi-Layer Perceptron (MLP)]] to predict the severity of brain stroke complications using family history and stroke data. This model achieved an accuracy of 94.32% in classifying multiclass stroke types. The research was published in the Springer Proceedings in Mathematics & Statistics as part of the ICDSAI 2023 conference. This work received the '''Best Student Paper Award''' at the 2nd International Conference on Data Science and Artificial Intelligence (ICDSAI), 2023, an event affiliated with California State University, USA.
+
 
 +
Nitish engineered a neural network model based on Multi-Layer Perceptron (MLP) to predict the severity of brain stroke complications using family history and stroke data. This model achieved an accuracy of 94.32% in classifying multiclass stroke types. The research was published in the Springer Proceedings in Mathematics & Statistics as part of the ICDSAI 2023 conference. This work received the '''Best Student Paper Award''' at the 2nd International Conference on Data Science and Artificial Intelligence (ICDSAI), 2023, an event affiliated with California State University, USA.
 +
 
 +
 
  
 
===Hybrid Telugu Emotion Classification===
 
===Hybrid Telugu Emotion Classification===
−
He designed a hybrid Machine Learning-Deep Learning (ML-DL) model for emotion classification in Telugu text. The model utilized [[Ensemble learning|ensemble methods]] on a [[Text corpus|corpus]] of over 35,000 entries, achieving 74.87% accuracy and a 67.44% [[F-score|F1-score]]. This research was presented at the 7th IEEE International Conference on Intelligent Computing (ICONIC 2K24) held at Panimalar Engineering College on March 22-23, 2024.
+
 
 +
He designed a hybrid Machine Learning-Deep Learning (ML-DL) model for emotion classification in Telugu text. The model utilized ensemble methods on a corpus of over 35,000 entries, achieving 74.87% accuracy and a 67.44% F1-score. This research was presented at the 7th IEEE International Conference on Intelligent Computing (ICONIC 2K24) held at Panimalar Engineering College on March 22-23, 2024.
 +
 
 +
 
  
 
===MITS CODE - Founder & Developer===
 
===MITS CODE - Founder & Developer===
 +
 
[[File:MITS CODE.png|thumb|200px|MITS CODE Platform Logo]] During his first year of B.Tech at MITS, Nitish founded and developed '''MITS CODE''', a campus-wide coding platform. The platform was designed to provide students with access to practice programming questions across various languages, including C, C++, Python, and Java. MITS CODE reached over 4,000 student users and was featured in Stanford University's "Change Forward" Journal for its student-driven innovation, a recognition linked to his work as a University Innovation Fellow.
 
[[File:MITS CODE.png|thumb|200px|MITS CODE Platform Logo]] During his first year of B.Tech at MITS, Nitish founded and developed '''MITS CODE''', a campus-wide coding platform. The platform was designed to provide students with access to practice programming questions across various languages, including C, C++, Python, and Java. MITS CODE reached over 4,000 student users and was featured in Stanford University's "Change Forward" Journal for its student-driven innovation, a recognition linked to his work as a University Innovation Fellow.
 +
 
* Link: [https://mitscode.godaddysites.com/ MITS CODE Official Website]
 
* Link: [https://mitscode.godaddysites.com/ MITS CODE Official Website]
 +
 +
  
 
===SINE AI Code Generator===
 
===SINE AI Code Generator===
−
Nitish built a real-time AI [[Program synthesis|code generation]] platform named SINE AI Code Generator, utilizing [[Sandpack]]. This tool was developed to reduce software development time, with an estimated 50% improvement in efficiency for certain coding tasks.
+
 
 +
Nitish built a real-time AI code generation platform named SINE AI Code Generator, utilizing Sandpack. This tool was developed to reduce software development time, with an estimated 50% improvement in efficiency for certain coding tasks.
 +
 
 +
 
  
 
===AI Multi-Agent System===
 
===AI Multi-Agent System===
−
He also created an AI [[Multi-agent system|Multi-Agent System]] using [[Langflow]] and [[Streamlit]], featuring [[Retrieval-augmented generation|RAG]]-powered agents for AI task orchestration.
+
 
 +
He also created an AI Multi-Agent System using Langflow and Streamlit, featuring RAG-powered agents for AI task orchestration.
 +
 
 +
 
  
 
==Publications==
 
==Publications==
−
* Nitish, Sine; et al. (2023). "A Stroke Complication Neural Network Model to Predict the Severity of Brain Stroke Using Family History". In Lin, F.M.; Patel, A.; Kesswani, N.; Sambana, B. (eds.). ''Accelerating Discoveries in Data Science and Artificial Intelligence I. ICDSAI 2023''. Springer Proceedings in Mathematics & Statistics. Vol. 421. Cham: [[Springer Science+Business Media|Springer]]. doi:10.1007/978-3-031-51167-7_79. ISBN 978-3-031-51167-7.
+
 
 +
* Nitish, Sine; et al. (2023). "A Stroke Complication Neural Network Model to Predict the Severity of Brain Stroke Using Family History". In Lin, F.M.; Patel, A.; Kesswani, N.; Sambana, B. (eds.). ''Accelerating Discoveries in Data Science and Artificial Intelligence I. ICDSAI 2023''. Springer Proceedings in Mathematics & Statistics. Vol. 421. Cham: Springer. doi:10.1007/978-3-031-51167-7_79. ISBN 978-3-031-51167-7.
 +
 
 
* Nitish, Sine; et al. (2024). "Hybridized Emotion Recognition in Telugu Text: A Machine Learning Approach Integrating Multiple Modules for Enhanced Sentiment Analysis". ''Proceedings of the 7th IEEE International Conference on Intelligent Computing (ICONIC 2K24)''. Panimalar Engineering College. March 22-23, 2024.
 
* Nitish, Sine; et al. (2024). "Hybridized Emotion Recognition in Telugu Text: A Machine Learning Approach Integrating Multiple Modules for Enhanced Sentiment Analysis". ''Proceedings of the 7th IEEE International Conference on Intelligent Computing (ICONIC 2K24)''. Panimalar Engineering College. March 22-23, 2024.
 +
 +
  
 
==Awards and Recognition==
 
==Awards and Recognition==
 +
 
Nitish has received several awards and recognitions for his work in technology, innovation, and academics. These accolades highlight his contributions at both national and international levels. The consistent recognition across different domains, from research to practical innovation, underscores a multifaceted skill set. Local media coverage for his achievements further indicates the broader impact and visibility of his work.
 
Nitish has received several awards and recognitions for his work in technology, innovation, and academics. These accolades highlight his contributions at both national and international levels. The consistent recognition across different domains, from research to practical innovation, underscores a multifaceted skill set. Local media coverage for his achievements further indicates the broader impact and visibility of his work.
 +
 +
  
 
{| class="wikitable sortable" style="width:100%;"
 
{| class="wikitable sortable" style="width:100%;"
 +
 
|+ Selected Awards and Honors
 
|+ Selected Awards and Honors
 +
 
! Award/Honor !! Year !! Conferring Body/Event !! Significance/Note
 
! Award/Honor !! Year !! Conferring Body/Event !! Significance/Note
 +
 
|-
 
|-
 +
 
| Best Student Paper Award
 
| Best Student Paper Award
 +
 
| 2023
 
| 2023
 +
 
| 2nd International Conference on Data Science and Artificial Intelligence (ICDSAI) <small>(affiliated with California State University, USA)</small>
 
| 2nd International Conference on Data Science and Artificial Intelligence (ICDSAI) <small>(affiliated with California State University, USA)</small>
 +
 
| For paper "A Stroke Complication Neural Network Model to Predict the Severity of Brain Stroke Using Family History". This achievement was widely covered in regional newspapers.
 
| For paper "A Stroke Complication Neural Network Model to Predict the Severity of Brain Stroke Using Family History". This achievement was widely covered in regional newspapers.
 +
 
|-
 
|-
−
| [[Smart India Hackathon|Smart India Hackathon Finalist]]
+
 
 +
| Smart India Hackathon Finalist
 +
 
 
| 2022
 
| 2022
−
| [[Ministry of Education (India)|Ministry of Education, Government of India]]
+
 
 +
| Ministry of Education, Government of India
 +
 
 
| National finalist in the AI for Public Problem Solving domain (SIH Senior Software Edition GRAND FINALE 2022, August 25-26).
 
| National finalist in the AI for Public Problem Solving domain (SIH Senior Software Edition GRAND FINALE 2022, August 25-26).
 +
 
|-
 
|-
 +
 
| University Innovation Fellow
 
| University Innovation Fellow
 +
 
| 2021 <small>(Cohort)</small>
 
| 2021 <small>(Cohort)</small>
−
| [[Stanford University]], [[Hasso Plattner Institute of Design]] (d.school)
+
 
 +
| Stanford University, Hasso Plattner Institute of Design (d.school)
 +
 
 
| Selected for global innovation training program; led campus initiatives and featured in Stanford's "Change Forward" Journal.
 
| Selected for global innovation training program; led campus initiatives and featured in Stanford's "Change Forward" Journal.
 +
 
|-
 
|-
 +
 
| National Paper Presentation Winner, RAIDS 2023
 
| National Paper Presentation Winner, RAIDS 2023
 +
 
| 2023
 
| 2023
 +
 
| MITS, National Level Technical Symposium RAIDS 23 <small>(Dept. of Computer Science - AI & Data Science)</small>
 
| MITS, National Level Technical Symposium RAIDS 23 <small>(Dept. of Computer Science - AI & Data Science)</small>
 +
 
| 1st Prize for presentation on "Stroke Prediction using AI" (April 19, 2023).
 
| 1st Prize for presentation on "Stroke Prediction using AI" (April 19, 2023).
 +
 
|-
 
|-
−
| [[NPTEL]] Course Topper - Business Analytics & Text Mining Modeling Using Python
+
 
 +
| NPTEL Course Topper - Business Analytics & Text Mining Modeling Using Python
 +
 
 
| 2023
 
| 2023
−
| NPTEL, [[Indian Institute of Technology Roorkee|IIT Roorkee]]
+
 
 +
| NPTEL, IIT Roorkee
 +
 
 
| Elite Gold certificate (91% score), ranked in Top 5% (Jul-Sep 2023 session).
 
| Elite Gold certificate (91% score), ranked in Top 5% (Jul-Sep 2023 session).
 +
 
|-
 
|-
 +
 
| NPTEL Course Topper - Cloud Computing and Distributed Systems
 
| NPTEL Course Topper - Cloud Computing and Distributed Systems
 +
 
| 2023
 
| 2023
−
| NPTEL, [[Indian Institute of Technology Kanpur|IIT Kanpur]]
+
 
 +
| NPTEL, IIT Kanpur
 +
 
 
| Elite Gold certificate (87% score), ranked in Top 5% (Jan-Mar 2023 session).
 
| Elite Gold certificate (87% score), ranked in Top 5% (Jan-Mar 2023 session).
 +
 
|-
 
|-
 +
 
| Featured in Newspapers
 
| Featured in Newspapers
 +
 
| Various <small>(2021-2023)</small>
 
| Various <small>(2021-2023)</small>
 +
 
| Multiple English & Telugu Newspapers <small>(e.g., Sakshi, Andhra Jyothy, Eenadu, Prajasakti, Andhra Prabha, Surya, Vaartha, Kurukshetram)</small>
 
| Multiple English & Telugu Newspapers <small>(e.g., Sakshi, Andhra Jyothy, Eenadu, Prajasakti, Andhra Prabha, Surya, Vaartha, Kurukshetram)</small>
 +
 
| Featured for AI innovations and national-level achievements, including ICDSAI award and UIF selection (reportedly 4 times in over 30 articles).
 
| Featured for AI innovations and national-level achievements, including ICDSAI award and UIF selection (reportedly 4 times in over 30 articles).
 +
 
|-
 
|-
 +
 
| Stanford Change Forward Journal Feature
 
| Stanford Change Forward Journal Feature
 +
 
| 2021-2022
 
| 2021-2022
 +
 
| University Innovation Fellows, Stanford University
 
| University Innovation Fellows, Stanford University
 +
 
| MITS Code platform featured for student-driven innovation.
 
| MITS Code platform featured for student-driven innovation.
 +
 
|-
 
|-
 +
 
| Cultural Achievement - Short Film Contest Winner
 
| Cultural Achievement - Short Film Contest Winner
 +
 
| 2022
 
| 2022
 +
 
| MITS Cultural Tech Fest <small>(MITS Film Makers Club-Student Activity Center)</small>
 
| MITS Cultural Tech Fest <small>(MITS Film Makers Club-Student Activity Center)</small>
 +
 
| 1st Prize in Short Film Contest (December 17, 2022).
 
| 1st Prize in Short Film Contest (December 17, 2022).
 +
 
|}
 
|}
 +
 +
  
 
==Certifications==
 
==Certifications==
 +
 
Nitish holds several professional certifications, demonstrating a commitment to continuous learning and skill development in various technology domains. These certifications from recognized organizations validate his expertise in areas crucial for AI/ML and software engineering.
 
Nitish holds several professional certifications, demonstrating a commitment to continuous learning and skill development in various technology domains. These certifications from recognized organizations validate his expertise in areas crucial for AI/ML and software engineering.
 +
 +
  
 
{| class="wikitable sortable" style="width:100%;"
 
{| class="wikitable sortable" style="width:100%;"
 +
 
|+ Professional Certifications
 
|+ Professional Certifications
 +
 
! Certification Title !! Issuing Organization !! Date Earned
 
! Certification Title !! Issuing Organization !! Date Earned
 +
 
|-
 
|-
 +
 
| Microsoft Certified: Power BI Data Analyst Associate
 
| Microsoft Certified: Power BI Data Analyst Associate
 +
 
| Microsoft
 
| Microsoft
 +
 
| March 10, 2023
 
| March 10, 2023
 +
 
|-
 
|-
 +
 
| Microsoft Certified: Azure Security Engineer Associate
 
| Microsoft Certified: Azure Security Engineer Associate
 +
 
| Microsoft
 
| Microsoft
 +
 
| March 27, 2023
 
| March 27, 2023
 +
 
|-
 
|-
 +
 
| Google Data Analytics Professional Certificate
 
| Google Data Analytics Professional Certificate
 +
 
| Google (via Coursera)
 
| Google (via Coursera)
 +
 
| October 20, 2023
 
| October 20, 2023
 +
 
|-
 
|-
 +
 
| Business Analytics & Text Mining Modeling Using Python <small>(Elite Gold, Top 5%, 91%)</small>
 
| Business Analytics & Text Mining Modeling Using Python <small>(Elite Gold, Top 5%, 91%)</small>
−
| NPTEL ([[Indian Institute of Technology Roorkee|IIT Roorkee]])
+
 
 +
| NPTEL (IIT Roorkee)
 +
 
 
| Jul-Sep 2023 <small>(8-week course)</small>
 
| Jul-Sep 2023 <small>(8-week course)</small>
 +
 
|-
 
|-
 +
 
| Cloud Computing and Distributed Systems <small>(Elite Gold, Top 5%, 87%)</small>
 
| Cloud Computing and Distributed Systems <small>(Elite Gold, Top 5%, 87%)</small>
−
| NPTEL ([[Indian Institute of Technology Kanpur|IIT Kanpur]])
+
 
 +
| NPTEL (IIT Kanpur)
 +
 
 
| Jan-Mar 2023 <small>(8-week course)</small>
 
| Jan-Mar 2023 <small>(8-week course)</small>
 +
 
|-
 
|-
 +
 
| Design Thinking
 
| Design Thinking
−
| [[Stanford University]]
+
 
 +
| Stanford University
 +
 
 
| <small>(Part of UIF Program, 2021 cohort)</small>
 
| <small>(Part of UIF Program, 2021 cohort)</small>
 +
 
|-
 
|-
 +
 
| Digital Image Processing <small>(Virtual Exchange Program)</small>
 
| Digital Image Processing <small>(Virtual Exchange Program)</small>
−
| [[Asia University (Taiwan)|Asia University, Taiwan]]
+
 
 +
| Asia University, Taiwan
 +
 
 
| Spring Semester 2023 <small>(Feb 13, 2023 - Jun 24, 2023; certificate issued June 16, 2023)</small>
 
| Spring Semester 2023 <small>(Feb 13, 2023 - Jun 24, 2023; certificate issued June 16, 2023)</small>
 +
 
|-
 
|-
 +
 
| RPA Foundation
 
| RPA Foundation
 +
 
| Wipro (via FutureSkills Prime & TalentNext)
 
| Wipro (via FutureSkills Prime & TalentNext)
 +
 
| August 12, 2024
 
| August 12, 2024
 +
 
|}
 
|}
 +
 +
  
 
==Technical Skills==
 
==Technical Skills==
 +
 
Nitish's technical expertise encompasses a range of programming languages, frameworks, cloud platforms, databases, and AI/ML tools. These skills are demonstrated through his project work and professional experience.
 
Nitish's technical expertise encompasses a range of programming languages, frameworks, cloud platforms, databases, and AI/ML tools. These skills are demonstrated through his project work and professional experience.
−
* '''Languages:''' [[Python (programming language)|Python]], [[Java (programming language)|Java]], [[JavaScript]], [[TypeScript]], [[SQL]], [[HTML]], [[CSS]]
+
 
−
* '''Frameworks & Tools:''' [[React (JavaScript library)|React.js]], [[Next.js]], [[Node.js]], [[FastAPI]], [[Flask (web framework)|Flask]], [[Prisma (ORM)|Prisma]], [[Tailwind CSS]], [[GitHub Actions]]
+
* '''Languages:''' Python, Java, JavaScript, TypeScript, SQL, HTML, CSS
−
* '''Cloud & Platforms:''' [[Amazon Web Services|AWS]] ([[Amazon SageMaker|SageMaker]], [[AWS Lambda|Lambda]]), [[Firebase]], [[Docker (software)|Docker]]
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* '''Databases:''' [[PostgreSQL]], [[MySQL]], [[Oracle Database|Oracle]], [[MongoDB]]
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* '''Frameworks & Tools:''' React.js, Next.js, Node.js, FastAPI, Flask, Prisma, Tailwind CSS, GitHub Actions
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* '''AI/ML:''' [[TensorFlow]], [[PyTorch]], [[Hugging Face Transformers|Hugging Face]], [[Scikit-learn]], [[Keras]], [[Pandas (software)|Pandas]], [[NumPy]], [[Matplotlib]]
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* '''Cloud & Platforms:''' AWS (SageMaker, Lambda), Firebase, Docker
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* '''Databases:''' PostgreSQL, MySQL, Oracle, MongoDB
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* '''AI/ML:''' TensorFlow, PyTorch, Hugging Face, Scikit-learn, Keras, Pandas, NumPy, Matplotlib
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==Social media profiles==
 
==Social media profiles==
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LinkedIn    :  https://www.linkedin.com/in/sine-nitish-b9b421204
 
LinkedIn    :  https://www.linkedin.com/in/sine-nitish-b9b421204
  
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==References==
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[[Category:Madanapalle Institute of Technology and Science (2021 cohort)]]
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{{reflist}}
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[[Category:Student Contributors]]
  
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[[Category:Living people]]
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{{CatTree|Madanapalle Institute of Technology and Science}}
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[[Category:Indian computer scientists]]
 
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[[Category:Indian artificial intelligence researchers]]
 
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[[Category:Madanapalle Institute of Technology and Science alumni]]
 
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[[Category:University Innovation Fellows]]
 
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[[Category:People from Visakhapatnam]]
 
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[[Category:2024 engineering graduates]]
 
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[[Category:Recipients of Best Paper Awards]]
 

Latest revision as of 06:37, 2 June 2025

Sine Nitish
Name
Sine Nitish
School (Cohort)
Madanapalle Institute of Technology and Science (2021 cohort)
Majoring in
Computer Science and Engineering (CSE)
Country
India
Email
Contact Sine Nitish ;Occupation: AI/ML Engineer, Full-Stack Developer
Employer
CommandHQ (June 2024 – Dec 2024)
Known for
  • Research in AI for stroke prediction
  • MITS CODE platform founder
  • University Innovation Fellow


Awards
  • Best Student Paper Award, ICDSAI (2023)


Website
Template:URL


Sine Nitish is an Indian AI/ML Engineer and Full-stack developer, who worked at CommandHQ from June to December 2024. He is known for his work in applying artificial intelligence to healthcare challenges, particularly in stroke prediction, and for his contributions to software development and innovation during his academic career. Nitish completed his Bachelor of Technology in Computer Science and Engineering from the Madanapalle Institute of Technology and Science in May 2024, graduating with First Class with Distinction. His research has been recognized with awards such as the Best Student Paper Award at the International Conference on Data Science and Artificial Intelligence (ICDSAI) in 2023, and he was selected as a University Innovation Fellow by Stanford University's Hasso Plattner Institute of Design (d.school).


Early Life and Education

Nitish hails from Visakhapatnam in the state of Andhra Pradesh, India. During his schooling, he reportedly served as a school pupil leader and was involved with The Bharat Scouts and Guides. Nitish pursued a Bachelor of Technology (B.Tech) in Computer Science & Engineering at the Madanapalle Institute of Technology and Science (MITS), graduating in May 2024 with First Class with Distinction and a CGPA of 9.16/10.


While at MITS, Nitish was selected as a University Innovation Fellow (UIF), a global initiative by Stanford University's Hasso Plattner Institute of Design (d.school). This program involved intensive training in design thinking, leadership, and entrepreneurial problem-solving. As a fellow, he led campus transformation initiatives, including organizing a Rapid Design Thinking workshop that engaged over 600 students, faculty, and government school students. His contributions through the UIF program were recognized in Stanford's "Change Forward" Journal. The selection of MITS students, including Nitish, for this program garnered local media attention, highlighting the opportunity for students to engage with innovation ecosystems and leading tech environments.


Career

Nitish's career began with a series of impactful research and development internships, followed by a professional role focusing on AI/ML engineering and full-stack development. His experience demonstrates a consistent application of technical skills to create practical solutions with measurable outcomes.


Professional Experience

AI/ML Engineer & Full-Stack Developer

CommandHQ, Coimbatore, India (June 2024 – December 2024)

  • Engineered a system for vehicle detection using YOLOv5 and PaddleOCR, which reportedly achieved 95% accuracy and reduced manual review processes by 70%.
  • Contributed to the development of an AI-driven threat prediction system using FastAPI and AWS Lambda, achieving 90% accuracy. This system, featuring a secure Next.js user interface with Next Auth, was reportedly adopted by the Indian Army.

Internships

Research Intern, AI & Audio Processing

REDS Institute, HES-SO, Yverdon-les-Bains, Switzerland (December 2023 – May 2024)

  • Focused on "Sentiment Analysis of Music using MFCC Features and RNN" under the supervision of Prof. Cédric Bornand.
  • Developed a model achieving 90% accuracy in music sentiment classification.
  • Improved audio processing pipeline efficiency by 30% through feature optimization.
  • Gained exposure to international research practices.


Web Development Intern

NITTTR, Chennai (July 2023 – August 2023)

  • Worked at the Centre for Rural and Entrepreneurship Development, under the Ministry of Education, Govt. of India.
  • Developed and launched a web portal for rural entrepreneurship using React, FastAPI, and PostgreSQL, which scaled to support over 1,500 users.
  • Commended for improving user experience by 40% using Tailwind CSS and implementing secure login functionalities with OAuth2 & JWT.


Deep Learning Intern

IIIT Surat (June 2022 – August 2022)

  • Focused on enhancing CNN/RNN classification models.
  • Applied Bayesian optimization to improve model performance by 15%.
  • Used advanced data augmentation techniques to reduce overfitting by 25%.
  • Recognized for punctuality, creativity, and technical skills.


Research and Projects

Nitish has been involved in several research projects and development initiatives, demonstrating an early aptitude for innovation and problem-solving.


Stroke Complication Prediction Model

Nitish engineered a neural network model based on Multi-Layer Perceptron (MLP) to predict the severity of brain stroke complications using family history and stroke data. This model achieved an accuracy of 94.32% in classifying multiclass stroke types. The research was published in the Springer Proceedings in Mathematics & Statistics as part of the ICDSAI 2023 conference. This work received the Best Student Paper Award at the 2nd International Conference on Data Science and Artificial Intelligence (ICDSAI), 2023, an event affiliated with California State University, USA.


Hybrid Telugu Emotion Classification

He designed a hybrid Machine Learning-Deep Learning (ML-DL) model for emotion classification in Telugu text. The model utilized ensemble methods on a corpus of over 35,000 entries, achieving 74.87% accuracy and a 67.44% F1-score. This research was presented at the 7th IEEE International Conference on Intelligent Computing (ICONIC 2K24) held at Panimalar Engineering College on March 22-23, 2024.


MITS CODE - Founder & Developer

MITS CODE Platform Logo

During his first year of B.Tech at MITS, Nitish founded and developed MITS CODE, a campus-wide coding platform. The platform was designed to provide students with access to practice programming questions across various languages, including C, C++, Python, and Java. MITS CODE reached over 4,000 student users and was featured in Stanford University's "Change Forward" Journal for its student-driven innovation, a recognition linked to his work as a University Innovation Fellow.


SINE AI Code Generator

Nitish built a real-time AI code generation platform named SINE AI Code Generator, utilizing Sandpack. This tool was developed to reduce software development time, with an estimated 50% improvement in efficiency for certain coding tasks.


AI Multi-Agent System

He also created an AI Multi-Agent System using Langflow and Streamlit, featuring RAG-powered agents for AI task orchestration.


Publications

  • Nitish, Sine; et al. (2023). "A Stroke Complication Neural Network Model to Predict the Severity of Brain Stroke Using Family History". In Lin, F.M.; Patel, A.; Kesswani, N.; Sambana, B. (eds.). Accelerating Discoveries in Data Science and Artificial Intelligence I. ICDSAI 2023. Springer Proceedings in Mathematics & Statistics. Vol. 421. Cham: Springer. doi:10.1007/978-3-031-51167-7_79. ISBN 978-3-031-51167-7.
  • Nitish, Sine; et al. (2024). "Hybridized Emotion Recognition in Telugu Text: A Machine Learning Approach Integrating Multiple Modules for Enhanced Sentiment Analysis". Proceedings of the 7th IEEE International Conference on Intelligent Computing (ICONIC 2K24). Panimalar Engineering College. March 22-23, 2024.


Awards and Recognition

Nitish has received several awards and recognitions for his work in technology, innovation, and academics. These accolades highlight his contributions at both national and international levels. The consistent recognition across different domains, from research to practical innovation, underscores a multifaceted skill set. Local media coverage for his achievements further indicates the broader impact and visibility of his work.


Selected Awards and Honors
Award/Honor Year Conferring Body/Event Significance/Note
Best Student Paper Award 2023 2nd International Conference on Data Science and Artificial Intelligence (ICDSAI) (affiliated with California State University, USA) For paper "A Stroke Complication Neural Network Model to Predict the Severity of Brain Stroke Using Family History". This achievement was widely covered in regional newspapers.
Smart India Hackathon Finalist 2022 Ministry of Education, Government of India National finalist in the AI for Public Problem Solving domain (SIH Senior Software Edition GRAND FINALE 2022, August 25-26).
University Innovation Fellow 2021 (Cohort) Stanford University, Hasso Plattner Institute of Design (d.school) Selected for global innovation training program; led campus initiatives and featured in Stanford's "Change Forward" Journal.
National Paper Presentation Winner, RAIDS 2023 2023 MITS, National Level Technical Symposium RAIDS 23 (Dept. of Computer Science - AI & Data Science) 1st Prize for presentation on "Stroke Prediction using AI" (April 19, 2023).
NPTEL Course Topper - Business Analytics & Text Mining Modeling Using Python 2023 NPTEL, IIT Roorkee Elite Gold certificate (91% score), ranked in Top 5% (Jul-Sep 2023 session).
NPTEL Course Topper - Cloud Computing and Distributed Systems 2023 NPTEL, IIT Kanpur Elite Gold certificate (87% score), ranked in Top 5% (Jan-Mar 2023 session).
Featured in Newspapers Various (2021-2023) Multiple English & Telugu Newspapers (e.g., Sakshi, Andhra Jyothy, Eenadu, Prajasakti, Andhra Prabha, Surya, Vaartha, Kurukshetram) Featured for AI innovations and national-level achievements, including ICDSAI award and UIF selection (reportedly 4 times in over 30 articles).
Stanford Change Forward Journal Feature 2021-2022 University Innovation Fellows, Stanford University MITS Code platform featured for student-driven innovation.
Cultural Achievement - Short Film Contest Winner 2022 MITS Cultural Tech Fest (MITS Film Makers Club-Student Activity Center) 1st Prize in Short Film Contest (December 17, 2022).


Certifications

Nitish holds several professional certifications, demonstrating a commitment to continuous learning and skill development in various technology domains. These certifications from recognized organizations validate his expertise in areas crucial for AI/ML and software engineering.


Professional Certifications
Certification Title Issuing Organization Date Earned
Microsoft Certified: Power BI Data Analyst Associate Microsoft March 10, 2023
Microsoft Certified: Azure Security Engineer Associate Microsoft March 27, 2023
Google Data Analytics Professional Certificate Google (via Coursera) October 20, 2023
Business Analytics & Text Mining Modeling Using Python (Elite Gold, Top 5%, 91%) NPTEL (IIT Roorkee) Jul-Sep 2023 (8-week course)
Cloud Computing and Distributed Systems (Elite Gold, Top 5%, 87%) NPTEL (IIT Kanpur) Jan-Mar 2023 (8-week course)
Design Thinking Stanford University (Part of UIF Program, 2021 cohort)
Digital Image Processing (Virtual Exchange Program) Asia University, Taiwan Spring Semester 2023 (Feb 13, 2023 - Jun 24, 2023; certificate issued June 16, 2023)
RPA Foundation Wipro (via FutureSkills Prime & TalentNext) August 12, 2024


Technical Skills

Nitish's technical expertise encompasses a range of programming languages, frameworks, cloud platforms, databases, and AI/ML tools. These skills are demonstrated through his project work and professional experience.

  • Languages: Python, Java, JavaScript, TypeScript, SQL, HTML, CSS
  • Frameworks & Tools: React.js, Next.js, Node.js, FastAPI, Flask, Prisma, Tailwind CSS, GitHub Actions
  • Cloud & Platforms: AWS (SageMaker, Lambda), Firebase, Docker
  • Databases: PostgreSQL, MySQL, Oracle, MongoDB
  • AI/ML: TensorFlow, PyTorch, Hugging Face, Scikit-learn, Keras, Pandas, NumPy, Matplotlib


Social media profiles

LinkedIn : https://www.linkedin.com/in/sine-nitish-b9b421204

Twitter : https://twitter.com/NitishSine?s=08

Facebook : https://www.facebook.com/profile.php?id=100010450815645

Instagram : https://www.instagram.com/sine_nitish?r=nametag

Github : https://github.com/SineNitish

Related links

▼ Madanapalle Institute of Technology and Science
► Madanapalle Institute of Technology and Science (2013 Fall cohort)
► Madanapalle Institute of Technology and Science (2013 Spring cohort)
► Madanapalle Institute of Technology and Science (2014 Fall cohort)
► Madanapalle Institute of Technology and Science (2014 Spring cohort)
► Madanapalle Institute of Technology and Science (2015 Fall cohort)
► Madanapalle Institute of Technology and Science (2015 Spring cohort)
► Madanapalle Institute of Technology and Science (2016 Fall cohort)
► Madanapalle Institute of Technology and Science (2016 Spring cohort)
► Madanapalle Institute of Technology and Science (2017 Fall cohort)
► Madanapalle Institute of Technology and Science (2017 Spring cohort)
► Madanapalle Institute of Technology and Science (2018 Fall cohort)
► Madanapalle Institute of Technology and Science (2018 Spring cohort)
► Madanapalle Institute of Technology and Science (2019 Fall cohort)
► Madanapalle Institute of Technology and Science (2020 cohort)
► Madanapalle Institute of Technology and Science (2021 cohort)
► Madanapalle Institute of Technology and Science (2022 cohort)
► Madanapalle Institute of Technology and Science (2023 cohort)
► Madanapalle Institute of Technology and Science (2024 cohort)
  Faculty Champion:Arjun Chakravarthi Pogaku
  Faculty Champion:Dr. Balaji Ramanujam
  School:Madanapalle Institute of Technology and Science
  Priorities:Madanapalle Institute of Technology and Science Faculty Projects
  Priorities:Madanapalle Institute of Technology and Science Student Priorities
  Faculty Champion:Pinapala Lakshmi Susmitha
  Faculty Champion:Vijaya Lakshmi Udayagiri
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