Jay Gondin

Machine Learning Engineer - Researcher at Samsung Research America (SRA)

San Francisco, California, United States
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Summary

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Rockstar
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Top School
Jay Gondin is a machine learning engineer and researcher with an 11-year career blending advanced mathematics, economic analysis, and hands-on ML in finance and enterprise security. He has led ML initiatives at Wells Fargo and JPMorgan Chase to automate data quality, detect anomalies, and prevent fraud, and now applies LLMs and custom deep learning at Samsung Research America to harden device security against CVE-driven threats. Comfortable translating business problems for non-technical stakeholders, he pairs a background in differential geometry and undergraduate lecturing with pragmatic product delivery across cross-functional teams. Notably, his work spans building reusable ML packages and production-ready pipelines that turn statistical rigor into operational safeguards for large-scale datasets.
code11 years of coding experience
job6 years of employment as a software developer
bookPontifical Catholic University of Rio de Janeiro
bookBachelor of Science (B.S.) Mathematics, Bachelor of Science (B.S.) Mathematics at Universidade Estadual de Montes Claros
languagesEnglish, Portuguese, Spanish, Portuguese, Spanish
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Github Skills (14)

neural-network9
machine-learning9
deep-learning9
data-driven1
jekyll1
python1
latex1
spark1
sqlite1
science1
sql1
pandas1
data-science1
jekyll-theme1

Github contributions (5)

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jgondin/email-sherlock

Jul 2016 - Dec 2016

Contributions:16 commits, 14 pushes, 1 branch in 5 months
jgondin/proj1

Jun 2015 - May 2016

Contributions:2 pushes, 1 branch in 11 months
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