Kanav Mittal
Graduate Researcher
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolKanav Mittal is an MS student and graduate researcher in EECS at UC Berkeley with eight years of engineering and research experience building ML systems that bridge AI, biology, and education. He has applied deep learning—transformers, CNNs, and xgboost—to genomics problems, presented first-author work at MLCB, and now focuses on AI alignment for educational settings. Kanav pairs hands-on software experience (internships at NVIDIA and product engineering roles) with substantial course leadership as a head TA, having scaled course infrastructure and improved grading systems for cohorts of 600–1,000+ students. He’s comfortable shipping production tools—LLM agents and multi-agent orchestration at NVIDIA—and translating research into practical pipelines and teaching materials. Colleagues describe him as someone who enjoys tackling big problems collaboratively, and he uniquely combines wet‑lab bioinformatics experience from early internships with modern LLM and ML engineering.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, Electrical Engineering and Computer Sciences, Bachelor of Science - BS, Electrical Engineering and Computer Sciences at University of California, BerkeleyBachelor of Science - BS, Electrical Engineering and Computer Sciences, Bachelor of Science - BS, Electrical Engineering and Computer Sciences at UC Berkeley College of EngineeringHigh School Diploma, High School Diploma at Saint Francis High SchoolProgramming languages (1)
Github contributions (5)
Zeyyla/alu
Mar 2019 - Nov 2019
Contributions:73 commits, 52 pushes in 8 months
PoliticalComputerScience/pcsberkeleysite
Aug 2020 - Sep 2021
Political Computer Science at Berkeley's official club website
Contributions:5 pushes, 3 branches in 1 year
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