Germán Bravo

Staff Software Engineer Python Team at LinkedIn

Menlo Park, California, United States
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Summary

🤩
Rockstar
🎓
Top School
Germán Bravo is a staff software engineer and systems performance specialist with 15+ years building high-performance distributed infrastructure, from founding startups to driving runtime efficiency at Meta and now LinkedIn. He architected and led adoption of Lazy Imports—co-authoring PEP work and implementing safety strategies—that cut startup times and memory usage dramatically across large fleets and AI/ML workflows. His background spans deep Python internals, C++, lock-free algorithms, RAFT-based search systems (Xapiand), and fleet-wide tooling that delivered hundreds of terabytes in memory savings. Germán combines hands-on optimization (CPython/Cinder contributions, import-system patches) with product-minded leadership earned while scaling teams and systems at Dubalu and Instagram. He’s equally comfortable refactoring open-source libraries like LibCST and pyScss as he is designing production-grade, low-latency services—an engineer who finds outsized gains by challenging assumptions about startup, memory, and import behavior. Based in Menlo Park, he pairs entrepreneurial roots with big-tech impact, specializing in making complex systems measurably cheaper, faster, and safer.
code15 years of coding experience
job16 years of employment as a software developer
bookBachelor of Science - BS Computer Engineering, Bachelor of Science - BS Computer Engineering at Instituto Tecnológico de Morelia
languagesSpanish, English
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Github Skills (42)

debugging10
git10
debug10
javascript10
parser10
lib10
postgresql10
jquery10
python10
django10
testing10
plugin-development10
autocomplete10
schema-design10
interpreter10

Programming languages (19)

JavaC++CSSCRustMakefileTeXGo

Github contributions (5)

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💡 Full-featured code intelligence and smart autocomplete for Sublime Text
Role in this project:
userFull-stack Developer
Contributions:515 commits, 19 PRs, 170 pushes in 6 years 6 months
Contributions summary:Germán primarily worked on improving and maintaining the full-featured code intelligence and autocomplete functionality for Sublime Text. Their contributions included removing unnecessary code, refactoring the code, and improving the user interface by adding improved tooltips and snippets. They also focused on improving autocomplete sorting and performance by reusing existing managers.
full-featuredauto-completeatom-editorsublime-text-plugincode-completion
Kronuz/pyScss

Feb 2011 - Aug 2018

pyScss, a Scss compiler for Python
Role in this project:
userBack-end Developer
Contributions:690 commits, 6 PRs, 8 pushes in 7 years 7 months
Contributions summary:Germán primarily contributed to the pyScss project by updating the documentation and refactoring the code. Their changes included restructuring the code and integrating Pyparsing for better parsing capabilities. The user's work was focused on documentation, code improvements, and ensuring the library's functionality.
compilerpythonscssscss-compiler
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