Summary
Nafis Neehal is an AI R&D Engineer and Ph.D. candidate in Computer Science at RPI with nine years of experience building end-to-end ML and LLM systems for healthcare and clinical research. He has led production-grade projects that improved clinical trial feature generation by 18 percentage points and achieved strong human agreement (0.85 Cohen’s Kappa) using RAG and PEFT-tuned Llama models, and created CT-Bench (1.7k trials) for benchmarking. His research delivered fairness-aware patient matching and cost-saving trial designs, plus scalable pipelines processing millions of records with large efficiency gains, reflecting both academic rigor and production engineering. Based in Gainesville, FL, he combines deep expertise in PyTorch, Python, R, and distributed data engineering (PySpark/AWS) with a track record of mentoring teams and releasing datasets/models that advance applied GenAI in healthcare.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Science and Engineering (B.Sc Engg.) Computer Science and Engineering, Bachelor of Science and Engineering (B.Sc Engg.) Computer Science and Engineering at Islamic University of Technology
Higher Secondary Certificate Science, Higher Secondary Certificate Science at Notre Dame College
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Rensselaer Polytechnic Institute
Secondary School Certificate Science, Secondary School Certificate Science at Udayan Higher Secondary School
English, Bengali, Hindi, Spanish