Glenn Leblanc is a software engineer with a decade of experience specializing in data-driven systems, distributed computing, and math-heavy problem solving. He is currently at Applied Intuition in Mountain View, focusing on autonomous vehicle safety and reliability. Previously at AWS, he contributed to Aurora PostgreSQL, shaping query planning and control-plane APIs across microservices, and held an SDE II stint in 2024. His background includes a Nauto data science internship where he built logging interfaces, verified a TensorFlow vehicle dynamics model, and prototyped on-device orientation anomaly detection that boosted test F1 by 30% and reduced LTE costs, along with NASA Ames and Berkeley Lab research on tensor networks and Monte Carlo fitting. He holds a BA in Data Science and Physics from UC Berkeley, reflecting a blend of quantitative rigor and practical software delivery. Based in the Bay Area, he combines hands-on engineering with research curiosity to translate complex theory into production-grade distributed systems.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Arts - BA, Data Science, Physics, Bachelor of Arts - BA, Data Science, Physics at University of California, Berkeley
Contributions:31 commits, 32 pushes, 4 branches in 5 years 5 months
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