Jonathan La

Staff ML Engineer at Deep Genomics

Vancouver, British Columbia, Canada
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Summary

👤
Senior
🎓
Top School
Jonathan La is a Staff ML Engineer based in Vancouver with nine years of experience building and operationalizing machine learning platforms across startups and larger tech teams. He has progressed from internships in ML and user behavior analytics to leadership roles driving ML platform automation and MLOps at Perceive, Amazon Lab126, and Deep Genomics. Jonathan blends engineering physics and math grounding with hands-on systems design, specializing in production ML pipelines, automation, and platform reliability. He’s comfortable both leading teams and rolling up his sleeves on infrastructure work, having moved rapidly into staff-level roles that bridge research models and production deployment. Avidly curious about the world, he pairs a passion for learning with a track record of shipping robust ML systems in regulated and high-impact domains.
code10 years of coding experience
job8 years of employment as a software developer
bookBachelor of Engineering (B.Eng.) Engineering Physics, Bachelor of Engineering (B.Eng.) Engineering Physics at McMaster University
languagesEnglish
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Stackoverflow

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Github Skills (44)

datasets10
huggingface10
speech10
gpa9
artificial-intelligence9
pandas9
pytorch9
llm9
machine-learning9
natural-language-processing9
tensorflow9
ai9
deep-learning9
nlp9
procrustes9

Programming languages (2)

GoPython

Github contributions (5)

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lajd/Procrustes-Analysis

Aug 2016 - Apr 2021

Contributions:2 PRs, 12 pushes, 7 branches in 4 years 8 months
Udacity Deep Reinforcement Learning
Contributions:37 commits, 4 PRs, 27 pushes in 5 months
deep-reinforcement-learning
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