Jeremy Welborn
Software Engineer (Machine Learning) at Covariant
San Francisco, California, United States
Summary
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Rockstar🎓
Top SchoolJeremy Welborn is a machine learning software engineer based in San Francisco with a decade of experience building applied research and production ML systems. He has worked across high-impact teams at Covariant and Cresta, bringing models from research into robotic and conversational automation products. His background blends rigorous academic training—a Cambridge MPhil and a Harvard BA in Applied Math and CS—with hands-on embedded and cloud engineering from roles at Formlabs and Amazon. Jeremy’s career also includes teaching fellowships at Harvard and early biomedical research roles, signaling strong quantitative foundations and an ability to communicate complex ideas. Comfortable at the intersection of research and engineering, he focuses on making ML systems reliable and deployable in real-world environments. A less obvious strength is his cross-domain fluency—from clinical research settings to investment banking internships—giving him a pragmatic, multidisciplinary approach to problem solving.
10 years of coding experience
Masters of Philosophy in Advanced Computer Science, Masters of Philosophy in Advanced Computer Science at University of CambridgeBachelor of Arts (B.A.), Applied Mathematics, Computer Science, Bachelor of Arts (B.A.), Applied Mathematics, Computer Science at Harvard University
Github Skills (18)
kinect6
flamingo5
xbox5
openvr5
aws-services4
chips4
deep-learning3
python3
aws3
computer-vision3
pytorch3
linux3
machine-learning3
windows3
language-model2
Programming languages (3)
Github contributions (5)
jerwelborn/video2dataset
Jul 2024 - Jul 2024
Easily create large video dataset from video urls
Contributions:8 pushes in 4 days
jerwelborn/808s_and_heartbreak
Dec 2017 - Dec 2017
Contributions:5 pushes, 1 branch in 1 day
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