Student Researcher at University of California, Davis
San Francisco, California, United States
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Summary
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Senior
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Top School
Ojas Upadhye is a statistics master's student and former software engineer with a decade of practical experience building data-driven systems and scalable backends. At HealthLevel he optimized ETL pipelines, cut search latency in half with Elasticsearch, and shipped a peer-matching engine and AI-ready services for medical reporting. Now a student researcher at UC Davis, he explores how large language models can reveal population-level variation in perception and linguistic expression. Combining a BS in Computer Science with strong applied statistics training, he sits at the intersection of ML research and production engineering. Colleagues describe him as equally comfortable tuning pipelines for performance and translating research questions into deployable analytics.
10 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Statistics, Master of Science - MS, Statistics at University of California, Davis
Contributions:11 pushes, 2 branches in 1 year 4 months
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Ojas Upadhye - Student Researcher at University of California, Davis