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.
15 years of coding experience
16 years of employment as a software developer
Bachelor of Science - BS Computer Engineering, Bachelor of Science - BS Computer Engineering at Instituto Tecnológico de Morelia
💡 Full-featured code intelligence and smart autocomplete for Sublime Text
Role in this project:
Full-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.
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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