Fellow:Sine Nitish
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Bio
Sine Nitish is currently Working as an AI/ML Engineer and Full-Stack Developer in CommandHQ, Completed his bachelor's degree in the stream of Computer Science and Engineering at Madanapalle Institute of Technology and Science. He hails from Vishakapatnam in the state of Andhra Pradesh in India.
He is a meticulous and humble student. He believes that by working hard one can accomplish anything in life. He is passionate about learning new trending technologies like AI, ML, RPA, and many more. His unique thinking helps him to handle any kind of situation. He is a very good programmer and also got certified at basics in AI/ML, Cyber Security, and IOT from Stanford and Harvard online platforms. He is interested and enthusiastic in the field of Artificial Intelligence. He wanted to do research in the field of AI and publish papers. He would like to study by applying his knowledge in real-time. This keenness made him proficient in Python and AI.
Along with academics, he also excels well in his extracurricular activities too. His incredible leadership qualities and technical knowledge is known on the campus. He has been a class representative since his childhood. His leadership qualities have been identified as his responsibility and commitment demanded respect.
He has a charming personality and great enthusiasm towards serving the community. He solves societal problems and brings 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 and also to serve society. His communication 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 repository.
He has a dream to be a good entrepreneur and his short-term ambition is to work as a software developer for large multinational corporations such as Google and Microsoft, and his long-term goal is to launch a software startup.
Publications
- 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. Springer, Cham. https://doi.org/10.1007/978-3-031-51167-7_79
Achievements
- He got Best Student Paper Award for his Paper Publication titled “A Stroke Complication Neural Network Model to Predict the Severity of Brain Stroke Using Family History “, at 2nd International Conference on Data Science and Artificial Intelligence (ICDSAI), 2023.
- He had participated in the Grand Finale of the Smart India Hackathon 2022
- He acted as school pupil leader and one of the student heads of the discipline committee in his school.
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
His Strategic Priority
MITS CODE
In this software sector coding plays a significant role in everyone's life for fixing careers and for skill development too. Coding is very much similar to Mathematics. The more problems we solve, the more grip we get on the concepts. Many students are facing problems with coding. This website is a platform where all the interested students get a chance to access practice programming questions, related to many languages like c, c++, python, java, and many more. Surprisingly many of the students wish for this platform.
Link : https://mitscode.godaddysites.com/
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