Sanjay Govindjee
Horace, Dorothy, And Katherine Johnson Professor In Engineering
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolSanjay Adhikesaven is a Machine Learning Engineer based in Berkeley with eight years of hands-on experience building NLP and personalization systems across industry and research settings. He blends rigorous academic training from UC Berkeley’s M.E.T. program with practical applied-AI internships at Apple, Google, and Typeface, and research roles at Berkeley AI Research and Allen Institute (contributing to the BAR project). Incoming to Jane Street for a machine learning role in summer 2026, he has repeatedly worked at the intersection of production engineering and cutting-edge language-model research. Comfortable shipping end-to-end systems, he has experience in search, content personalization, and applied AI labs, often translating research prototypes into deployable features. Notably, his background pairs dual BS degrees in EECS and Business Administration, giving him both technical depth and product thinking. He’s driven by building scalable ML systems that bridge academic advances and real-world user impact.
8 years of coding experience
2 years of employment as a software developer
S.B., S.B. at Massachusetts Institute of TechnologyMS & PhD, MS & PhD at Stanford University
Github Skills (19)
hpc-applications10
finite-element-analysis10
computational-science9
matlab9
jupyter-book7
jupyterhub4
jupyterlab-extension4
helm3
jupyter-notebook3
ipython3
jupyterlab3
jupyter2
windows1
linux1
python1
Programming languages (5)
Github contributions (5)
sanjayg0/feappv
Oct 2017 - Oct 2022
FEAPpv -- free personal version of the FEAP
Contributions:9 releases, 71 commits, 12 PRs in 5 years
hpc-applicationscomputational-sciencefemfinite-element-analysisfinite-element-method
sanjayg0/ims
Aug 2021 - Nov 2022
Contributions:1 release, 6 commits, 5 pushes in 1 year 3 months
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