Thom Hammond

SDE 2 - Machine Learning at Amazon

San Francisco Bay Area United States
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Summary

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Senior
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Top School
Thom Hammond is an SDE 2 specializing in machine learning with eight years of engineering experience and a background that blends art history and computer science from UC Berkeley. He moved up through Amazon’s engineering ranks after building backend systems and automation tools earlier in his career, including content transformation workflows and a Unity3D visualization app for a museum. Comfortable across backend development and applied ML, Thom is curious by nature and known for asking deep questions to drive better technical decisions. Based in the San Francisco Bay Area, he pairs analytical rigor with a creative lens—an unusual mix that informs both system design and user-facing tooling. Outside of work he recharges on long runs along the Bay Trail and by tackling steep hikes, habits that mirror his steady, endurance-oriented approach to delivering software.
code8 years of coding experience
job4 years of employment as a software developer
bookBachelor of Arts - BA History of Art minor in Computer Science, Bachelor of Arts - BA History of Art minor in Computer Science at University of California, Berkeley
bookBloomTech
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Github Skills (5)

publish7
python-app5
javascript5
python4
html3

Programming languages (4)

CSSVueHTMLPython

Github contributions (5)

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thomhammond/HTMLTagAnalyzer

Jun 2019 - May 2022

A basic Python app that takes in a URL and returns a table listing the types and counts of HTML tags present.
Contributions:33 commits, 3 PRs, 27 pushes in 2 years 11 months
basic-pythonreturnspythontakespython-app
thomhammond/percolation

Jan 2022 - May 2022

Contributions:6 pushes, 1 branch in 3 months
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Thom Hammond - SDE 2 - Machine Learning at Amazon