Jack Prescott

Senior Deep Learning Engineer at Nex

San Francisco Bay Area United States
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Summary

👤
Senior
🎓
Top School
Jack Prescott is a Senior Deep Learning Engineer based in the San Francisco Bay Area with 11 years of experience building production ML systems and researching robust learning methods. He progressed from research at Stanford and the University of Virginia—where he was sole first author on a robust learning paper accepted to ICLR 2021—to applied roles at Nex, advancing from Deep Learning Engineer to Senior Deep Learning Engineer. His background includes internships at Apple, Microsoft, and Jump Trading, reflecting strong software engineering foundations alongside ML expertise. Jack combines interests in cryptography and machine learning, positioning him to work on privacy-preserving and security-conscious AI products as those fields converge. He is comfortable bridging research and engineering, shipping models in production while grounding work in formal robustness and statistical thinking.
code10 years of coding experience
job8 years of employment as a software developer
bookBachelor of Arts - BA, Computer Science, Mathematics, Statistics, and Astronomy, Bachelor of Arts - BA, Computer Science, Mathematics, Statistics, and Astronomy at University of Virginia
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Github Skills (14)

testing5
inspect5
python-bindings5
sgd4
selenium-webdriver4
python4
testing-library3
react2
web-testing2
selenium2
text-based2
javascript2
browser2
css2

Programming languages (1)

Python

Github contributions (5)

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jackbprescott/EMC_HalfSpaces

Feb 2021 - Mar 2021

Empirically estimates the concentration of measure of a dataset using halfspaces.
Contributions:9 commits, 2 PRs, 11 pushes in 13 days
datasetestimatesconcentrationmeasure
jackbprescott/AstroSim

Apr 2018 - Apr 2018

Contributions:1 PR, 4 pushes, 3 branches in 1 day
simulationuvadepartmentastronomymatter
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Jack Prescott - Senior Deep Learning Engineer at Nex