Guozhen La

ML Engineer - Founding Team at Basis

New York, New York, United States
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Summary

👤
Senior
🎓
Top School
Guozhen La is an ML engineer with nine years of experience building machine learning platforms and infrastructure across high-scale companies, now on the founding team at Basis in New York. He has driven production ML tooling and data processing at Spotify, Snap, and Cruise, bringing a pragmatic bridge between research and engineering that enables models to move reliably from prototype to production. His background in computer engineering from the University of Waterloo and early roles spanning quantitative development and networking give him a strong systems-first perspective on performance and reliability. Known for thriving in both startup and large-company environments, he focuses on scalable data pipelines, model-serving infrastructure, and developer experience. Notably, he combines hands-on software engineering with platform-level design, making him equally comfortable optimizing low-level systems and shaping ML product roadmaps.
code9 years of coding experience
job6 years of employment as a software developer
bookBachelor's Degree Computer Engineering, Bachelor's Degree Computer Engineering at University of Waterloo
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Github Skills (42)

dhl10
fedex10
ups10
usps10
spotify10
python9
machine-learning9
kubernetes-operator9
dataops9
declarative9
php-api9
sdk9
golang9
scale9
grpc9

Programming languages (4)

JavaScriptGoPHPPython

Github contributions (5)

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guozhen-la/flyteidl

Jul 2023 - Aug 2023

Specification of the IR for Flyte workflows and tasks. Also Interfaces for all backend services. https://docs.flyte.org/projects/flyteidl/en/stable/
Contributions:13 pushes, 1 branch in 13 days
sh6khan/ece-454

May 2017 - Jul 2017

Contributions:104 commits in 2 months
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