Sidharth Kulkarni is a software engineer with 11 years of experience who thrives on solving hard problems at the intersection of programming and mathematics. He has built production features and platforms at scale—most recently at Google maintaining an internal ads-revenue reporting system—and recently joined Mercury. Early work in bioinformatics and machine learning at TGen produced a 20x speedup in a preprocessing pipeline and experimental CNN models linking RNA folding to peptide abundance, illustrating his ability to move quickly between domains. Comfortable across backend systems, data pipelines, and research code, he also values tooling and developer ergonomics (and is an unabashed Emacs enthusiast). Driven by curiosity, he seeks roles that combine rapid learning with measurable impact, often finding opportunities to optimize workflows and bridge research with production.
11 years of coding experience
7 years of employment as a software developer
Computer Science, Computer Science at Arizona State University
Contributions:47 commits, 11 pushes, 1 branch in 4 years 11 months
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