Glenn Leblanc is a software engineer with a decade of experience specializing in data, distributed systems, and infrastructure engineering, currently building platform-level systems at Airtable in New York. He has shipped database and control-plane features at AWS Aurora, touched physical AI systems at Applied Intuition, and worked on sensor fusion and large-scale data workflows, demonstrating a strong bridge between research and production. His background in data science and physics from UC Berkeley informs a quantitative approach to problems, from modifying PostgreSQL query execution to Monte Carlo fitting for experimental data. Glenn favors intellectually demanding projects—he’s built tensor-network tooling for quantum algorithm analysis and contributed to long-standing research problems at Berkeley Lab—so he brings both technical depth and experimental rigor to engineering challenges.
10 years of coding experience
4 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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