Sanjay 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
1 year of employment as a software developer
Bachelor of Science - BS, Electrical Engineering & Computer Sciences & BS, Business Administration, Bachelor of Science - BS, Electrical Engineering & Computer Sciences & BS, Business Administration at University of California, Berkeley
Bachelor of Science - BS, Electrical Engineering & Computer Sciences + Business Administration, Bachelor of Science - BS, Electrical Engineering & Computer Sciences + Business Administration at UC Berkeley Management, Entrepreneurship, & Technology (M.E.T.) program
Data files for the book Example Problems for Continuum Mechanics of Solids by L. Anand and S. Govindjee
Contributions:39 commits, 2 PRs, 37 pushes in 2 years 3 months
anandcontinuumproblemsdata-filesmechanics
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Sanjay Adhikesaven - Machine Learning Engineer at Jane Street