Scott Werwath
Member Of Technical Staff at Harvey
Oakland, California, United States
Summary
👤
Senior🎓
Top SchoolScott Werwath is a Member of Technical Staff and machine learning-savvy software engineer with roughly a decade of experience building production-grade systems that intersect healthcare and NLP. Trained at UC Berkeley and having conducted medical NLP research at UCSF, he has designed radiology classification models, multi-terabyte AWS pipelines, and clinical recommendation engines that improve case triage and physician training. He’s led engineering teams at Fathom and now contributes to product-focused ML work at Harvey, with a track record of shipping backend, mobile, and full-stack improvements in low-connectivity and high-scale environments. Comfortable moving models from research into production, he combines deep applied NLP skills with pragmatic software engineering and a mission-driven focus on lowering cost and improving quality of care. An understated thread through his career is translating academic research into operational systems—whether distributed game solvers, clinical ML pipelines, or offline-capable medical apps.
11 years of coding experience
9 years of employment as a software developer
Bachelor’s Degree Electrical Engineering & Computer Sciences, Bachelor’s Degree Electrical Engineering & Computer Sciences at University of California, BerkeleyHigh School Diploma, High School Diploma at Collegiate School
Github Skills (16)
mathematical8
modeling8
notation7
julia7
mathematics7
ide7
vscode6
math5
vscode-extension5
julialang4
visual-studio-code4
visual-studio4
world-of-warcraft2
azerothcore2
trinitycore2
Programming languages (4)
Github contributions (5)
swerwath/proj2
Mar 2016 - Apr 2016
Contributions:10 PRs, 118 pushes, 9 branches in 1 month
ruby-on-railsrailsrubyspringdecal
swerwath/GamesmanMPI
Feb 2016 - Aug 2016
Contributions:1 PR, 177 pushes, 3 branches in 6 months
mpisolver
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