Evan Borras
AI Specialist at ConvergeOne
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolEvan Borras is an AI Specialist based in San Jose with eight years of engineering and research experience bridging theoretical physics and applied machine learning. With a BS in Theoretical and Mathematical Physics from UC Santa Barbara, he brings deep math foundations—including group and functional analysis—plus hands-on expertise in Python, C/C++, Fortran, and full ML stacks (TensorFlow, Keras, Scikit‑Learn). His background includes research at Los Alamos that led to a Physics Letters B publication and internships building experimental and statistical pipelines at Agilent and a Techstars startup, giving him both academic rigor and product-focused ML experience. Comfortable deploying end-to-end systems (Docker, AWS, Spark) and prototyping web tools in React, he combines physics-based modeling intuition with practical recommendation and data-engineering work. Notably, he pairs quantum and classical mechanics knowledge with production ML skills, positioning him to tackle domain-specific modeling problems that demand strong theoretical insight.
8 years of coding experience
Bachelor of Science - BS, Theoretical and Mathematical Physics, Bachelor of Science - BS, Theoretical and Mathematical Physics at UC Santa BarbaraMachine Learning Engineering Career Track, Machine Learning Engineering Career Track at Springboard
JapaneseProgramming languages (2)
Github contributions (5)
Evbor/Stock_Analysis
Sep 2019 - Jul 2020
Contributions:3 releases, 58 commits, 4 PRs in 10 months
Evbor/Pkmn_card_classifier
Mar 2019 - Jan 2020
classifies pokemon cards by set
Contributions:2 PRs, 34 pushes, 18 branches in 10 months
react
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