Sahil Saxena
Software Engineer at Dev House Labs
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolSahil Saxena is a software engineer with 11 years of practical experience and a Regents’ Scholar background in Computer Science and Statistics from UC Berkeley. Based in the San Francisco Bay Area, he blends research-grade machine learning and computer vision experience from Berkeley AI Research with production engineering at companies like Meta, Coinbase, and PayPal. He’s shipped high-throughput trading and ads ML infrastructure, helped standardize gRPC protocols, and built ML backends and blockchain-backed identity systems, showing comfort across backend systems, crypto, and applied ML. As Head of Product at Blockchain at Berkeley he led industry POCs with Fortune 500 partners, and his hands-on roles span from Solidity contracts to native mobile personalization frameworks. Notably, he pairs rigorous academic work in interpretable ML and 3D reconstruction with real-world performance engineering, demonstrating a rare mix of research intuition and production delivery.
11 years of coding experience
3 years of employment as a software developer
Computer Science & Statistics, Computer Science & Statistics at University of California, Berkeley
Github Skills (31)
java9
elasticsearch8
stability8
search-engine8
preprocessing7
statistics7
restful7
medical7
rule-based6
science6
machine-learning6
xai6
pandas5
python5
data-science5
Programming languages (3)
Github contributions (5)
jrharika/IdentiX
Oct 2018 - Dec 2018
Contributions:2 PRs, 16 pushes, 10 branches in 1 month
ssaxena00/SyrJsTicTacToe
Feb 2019 - Mar 2019
Contributions:9 pushes, 1 branch in 27 days
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