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|[[File:Nitish profile picture 1.jpg|center|frameless|283x283px|linkalt=Special:FilePath/Nitish_profile_picture_1.jpgSine Nitish]]

;Name:Sine Nitish;School (Cohort):Madanapalle Institute of Technology and Science (2021 cohort);Majoring in:Computer Science and Engineering (CSE);Country:India;Email:[[Special:EmailUser/Sine.nitish|sineContact Sine Nitish]] ;Occupation: AI/ML Engineer, Full-Stack Developer;Employer: CommandHQ <small>(June 2024 – Dec 2024)</small>;Known for: {{Plainlist|* Research in AI for stroke prediction* MITS CODE platform founder* [[University Innovation Fellows|University Innovation Fellow]]}};Awards: {{Plainlist|* Best Student Paper Award, ICDSAI (2023)}};Website: {{URL|https://www.nitish@gmaillinkedin.com]]/in/sine-nitish-b9b421204}}

==Bio=='''Sine Nitish ''' is currently Working as an Indian [[Artificial intelligence|AI]]/[[Machine learning|ML ]] Engineer and [[Full-Stack Developer 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 CommandHQstroke prediction, Completed and for his bachelor's degree contributions to software development and innovation during his academic career. Nitish completed his Bachelor of Technology in the stream of Computer Science and Engineering at from the Madanapalle Institute of Technology and Sciencein May 2024, graduating with First Class with Distinction. He hails from Vishakapatnam 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 the state 2023, and he was selected as a [[University Innovation Fellows|University Innovation Fellow]] by Stanford University's Hasso Plattner Institute of Andhra Pradesh in IndiaDesign (d.school).

He is a meticulous ==Early Life and humble student. He believes that by working hard one can accomplish anything Education==Nitish hails from [[Visakhapatnam]] in lifethe state of [[Andhra Pradesh]], India. He is passionate about learning new trending technologies like AI, MLDuring his schooling, RPA, and many more. His unique thinking helps him to handle any kind of situation. He is he reportedly served as a very good programmer and also got certified at basics in AI/ML, Cyber Security, school pupil leader and IOT from Stanford was involved with [[The Bharat Scouts and Harvard online platformsGuides]]. He is interested and enthusiastic in the field Nitish pursued a [[Bachelor of Artificial IntelligenceTechnology]] (B. He wanted to do research Tech) in Computer Science & Engineering at the field [[Madanapalle Institute of AI Technology and publish papers. He would like to study by applying his knowledge Science]] (MITS), graduating in real-timeMay 2024 with First Class with Distinction and a CGPA of 9. This keenness made him proficient in Python and AI16/10.

Along with academicsWhile at MITS, Nitish was selected as a [[University Innovation Fellows|University Innovation Fellow]] (UIF), he also excels well a global initiative by [[Stanford University]]'s [[Hasso Plattner Institute of Design]] (d.school). This program involved intensive training in his extracurricular activities too. His incredible [[design thinking]], leadership qualities , and technical knowledge is known on the entrepreneurial problem-solving. As a fellow, he led campus. He has been transformation initiatives, including organizing a class representative since his childhoodRapid Design Thinking workshop that engaged over 600 students, faculty, and government school students. His leadership qualities have been identified as his responsibility 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 commitment demanded respectleading tech environments.

He has ==Career==Nitish's career began with a charming personality series of impactful research and great enthusiasm towards serving the community. He solves societal problems and brings development internships, followed by a change in the ecosystem. Along with these, he is also part of The Bharat Scouts & Guides in his schooling which provided him opportunities to participate in programs professional role focusing on AI/ML engineering and also to serve societyfull-stack development. His communication experience demonstrates a consistent application of technical skills, his commitment to learning are really worthy. Using python, he has created an AI voice assistant project and UI interface calculator which has been deposited in the GitHub repositorycreate practical solutions with measurable outcomes.

He ===Professional Experience=======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%.* 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]]. ===Internships=======Research Intern, AI & Audio Processing===='''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.* Developed a model achieving 90% accuracy in music [[Emotion classification#Music emotion recognition|sentiment classification]].* Improved audio processing pipeline efficiency by 30% through feature optimization.* Gained exposure to international research practices. ====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]].* 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]]. ====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.* Applied [[Bayesian optimization]] to improve model performance by 15%.* Used advanced [[Data augmentation|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 dream [[neural network]] model based on [[Multilayer perceptron|Multi-Layer Perceptron (MLP)]] to be 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 good entrepreneur 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. ===MITS CODE - Founder & Developer===[[File:MITS CODE.png|thumb|200px|MITS CODE Platform Logo]] During his shortfirst 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-term ambition is driven innovation, a recognition linked to his work as a University Innovation Fellow.* Link: [https://mitscode.godaddysites.com/ MITS CODE Official Website] ===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 developer development time, with an estimated 50% improvement in efficiency for large multinational corporations such as Google certain coding tasks. ===AI Multi-Agent System===He also created an AI [[Multi-agent system|Multi-Agent System]] using [[Langflow]] and Microsoft[[Streamlit]], and his longfeaturing [[Retrieval-augmented generation|RAG]]-term goal is to launch a software startuppowered agents for AI task orchestration.

*A Stroke Complication Neural Network Model ==Certifications==Nitish holds several professional certifications, demonstrating a commitment to Predict the Severity of Brain Stroke Using Family History. In: Lin, F.M., Patel, A., Kesswani, N., Sambana, B. (eds) Accelerating Discoveries continuous learning and skill development in Data Science and Artificial Intelligence Ivarious technology domains. ICDSAI 2023. Springer Proceedings These certifications from recognized organizations validate his expertise in Mathematics & Statistics, vol 421. Springer, Cham. https:areas crucial for AI//doi.org/10ML and software engineering.1007/978-3-031-51167-7_79

{| class="wikitable sortable" style=Achievements=="width:100%;"|+ 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 <small>(Elite Gold, Top 5%, 91%)</small>| NPTEL ([[Indian Institute of Technology Roorkee|IIT Roorkee]])| Jul-Sep 2023 <small>(8-week course)</small>|-| Cloud Computing and Distributed Systems <small>(Elite Gold, Top 5%, 87%)</small>| NPTEL ([[Indian Institute of Technology Kanpur|IIT Kanpur]])| Jan-Mar 2023 <small>(8-week course)</small>|-| Design Thinking| [[Stanford University]]| <small>(Part of UIF Program, 2021 cohort)</small>|-| Digital Image Processing <small>(Virtual Exchange Program)</small>| [[Asia University (Taiwan)|Asia University, Taiwan]]| Spring Semester 2023 <small>(Feb 13, 2023 - Jun 24, 2023; certificate issued June 16, 2023)</small>|-| 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.*He got '''Best Student Paper AwardLanguages:''' for his [[Python (programming language)|Python]], [[Java (programming language)|Java]], [[JavaScript]], [[TypeScript]], [[SQL]], [[HTML]], [[CSS]]* '''Paper PublicationFrameworks & Tools:''' titled [[React (JavaScript library)|React.js]], [[Next.js]], [[Node.js]], [[FastAPI]], [[Flask (web framework)|Flask]], [[Prisma (ORM)|Prisma]], [[Tailwind CSS]], [[GitHub Actions]]* '''“A Stroke Complication Neural Network Model to Predict the Severity of Brain Stroke Using Family History “Cloud & Platforms:'''[[Amazon Web Services|AWS]] ([[Amazon SageMaker|SageMaker]], at 2nd International Conference on Data Science and Artificial Intelligence [[AWS Lambda|Lambda]]), [[Firebase]], [[Docker (ICDSAIsoftware), 2023.|Docker]]*He had participated in the Grand Finale of the '''Smart India Hackathon 2022Databases:'''[[PostgreSQL]], [[MySQL]], [[Oracle Database|Oracle]], [[MongoDB]]*He acted as school pupil leader and one of the student heads of the discipline committee in his school.'''AI/ML:''' [[TensorFlow]], [[PyTorch]], [[Hugging Face Transformers|Hugging Face]], [[Scikit-learn]], [[Keras]], [[Pandas (software)|Pandas]], [[NumPy]], [[Matplotlib]]

{{CatTree|[[Category:Living people]][[Category:Indian computer scientists]][[Category:Indian artificial intelligence researchers]][[Category:Madanapalle Institute of Technology and Science}}alumni]][[Category:University Innovation Fellows]][[Category:People from Visakhapatnam]][[Category:2024 engineering graduates]][[Category:Recipients of Best Paper Awards]]