Aadit Kapoor

Research Engineer at BluePill AI

San Jose, California, United States
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Summary

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Senior
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Top School
Aadit Kapoor is a curiosity-driven research engineer and AI practitioner with a decade of hands-on experience building production ML systems and research-grade models across biotech, energy, manufacturing, and logistics. He combines full-stack ML delivery and MLOps expertise (DeepSpeed, FSDP, Kubeflow, Ray) with model craftsmanship at scale—evidenced by fine-tuning a 1.3B genomic LLM on H100s and porting it to Flash-Attention-2 to reduce memory by ~30%. His work has produced measurable business impact, from cutting Stanford energy-meter downtime by 80% to boosting wafer-inspection throughput 30% and generating multimillion-dollar revenue via predictive maintenance. A published researcher with 200+ citations and RSCA-funded projects, he bridges rigorous LLM research (RLHF, SFT, DPO) with deployable systems. Based in San Jose and completing an MS in AI (Data Science focus), he’s seeking full-time roles where cutting-edge AI meets real-world impact, particularly in biotech, climate tech, healthcare, and advanced manufacturing. An early app entrepreneur, he also brings product intuition and end-user focus to technically ambitious projects.
code10 years of coding experience
job8 years of employment as a software developer
bookMaster of Science - MS Artificial Intelligence, Master of Science - MS Artificial Intelligence at San José State University
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Github Skills (30)

net-library8
ipl8
twilio7
locate7
python-project7
prediction7
webapp6
flask6
keras6
api6
ide6
python6
django6
visualization6
near6

Programming languages (5)

JavaScriptGoHTMLJupyter NotebookPython

Github contributions (5)

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Contributions:1 release, 4 pushes, 1 branch in 1 year 11 months
A COVID Tracker that informs people COVID stats through SMS using the Twillio API
Contributions:25 commits, 17 pushes, 1 branch in 1 month
smsapichatbotdata-scienceflask
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