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 large language models (LLMs) for healthcare and intelligent systems.

I work as a Software Engineer-I at Brain Station 23 PLC and as an Adjunct Lecturer at International Standard University, teaching Robotics, IoT, and Competitive Programming.

I am a Founding Member of NIMISHES Lab (Nishi Medical Imaging & Intelligent Health Engineering Systems), an independent research lab advancing AI-driven medical imaging and intelligent healthcare systems. My ongoing research spans skin lesion classification, polyp segmentation, anomaly-aware forensic authentication (Washington State University), and early-stage Alzheimer’s disease prediction. I have 4 conference papers under review (iCONEECT 2026, IEEE BECITH 2026) and multiple journal submissions in progress. My work on driver distraction detection has been published internationally.

With 3000+ solved problems on Codeforces, LeetCode, and CodeChef, I bring strong algorithmic and problem-solving skills. I focus on medical AI, clinical NLP, intelligent chatbots, and LLM-driven systems.

I’m always open to research or software collaborations—feel free to reach out!

Contact: nishikantapaul108@gmail.com

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