Greetings!

I’m Nishi Kanta Paul, a Computer Science graduate from Ahsanullah University of Science and Technology (Top 7 in class), passionate about AI, computer vision, and their applications in medical imaging and healthcare.

I currently contribute as a voluntary researcher on an AI-based Parkinson’s Disease Screening project with researchers from UAB and Temple University, applying deep learning in healthcare diagnostics.

With 3000+ solved problems on Codeforces, LeetCode, and CodeChef, I bring strong algorithmic thinking and problem-solving skills that complement my research and development efforts.

I also work as a Trainee Software Engineer at Brain Station 23 PLC, building scalable web apps using React, TypeScript, and Next.js.

My research on driver distraction detection using transfer learning has been published at an international conference.

I’m now seeking fully funded research roles in AI for healthcare, medical imaging, and computer vision.

• Contact: nishikantapaul108@gmail.com
• Focus Areas:
  • Medical AI and diagnostics
  • Deep learning and computer vision
  • Algorithm design & optimization
  • Modern frontend engineering (React/Next.js)

Always open to research or software collaborations—feel free to reach out!

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