About

I am Aadit Kapoor. I love to think of new innovative ideas and, most importantly, try hard to make them a reality. My curiosity drives me to solve technically difficult, real-world AI problems that create tangible value and improve the way humans live. I also enjoy reading and analyzing businesses.

My interests span Artificial Intelligence, Machine Learning in Healthcare, Biomedical Data Science, and Biomedical Informatics.

I like to operate at the intersection of research and industry, striving to develop epoch-making technology.

Things I value:

Quality Work
Innovation & Risk-Taking
Passion & Work Ethic
Humility

Work Experience

RSCA Fellow — Large Language Models for Genomics, SJSU (Aug 2024 – Present): Leading genomic‑LLM evaluation research under a highly competitive (25 % acceptance) RSCA grant.
Data Science Engineering Intern — Stanford Energy Systems Innovations (May 2024 – May 2025): Built ML‑driven maintenance & forecasting pipelines that cut downtime 80 % and energy costs 50 %.
Graduate Research Assistant — SJSU × Lam Research (Aug 2023 – Dec 2024): Fine‑tuned YOLO wafer‑detection models achieving 0.1 % FN and boosting synthetic‑data throughput 30 %.
A.I Engineer / Data Scientist — Roland DGA / DGSHAPE (Feb 2021 – Jul 2023): Led predictive‑maintenance analytics for dental milling machines, driving US$1–3 M annual revenue.
Post‑baccalaureate Researcher — NIH (NLM/NCBI) (Jul 2022 – Jul 2023): Developed contrastive models for AMD risk and co‑authored early generative‑AI biomedicine paper.
Data Science Intern — Swiggy (Jan 2021 – Jan 2022): Optimized logistic zoning & order batching, boosting delivery‑network efficiency 5 ×.
Data Science Intern — nference (May 2020 – Aug 2020): Created Python library for synthetic‑control causal analysis to streamline clinical research studies.