Principal Applied Scientist And Manager at Amazon Web Services (AWS)
Seattle, Washington, United States
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Summary
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Laurent Callot is a Principal Applied Scientist and manager at AWS leading agentic coding efforts within Amazon Q Developer, shaping Generative AI and ML experiences used by tens of thousands of Amazon developers and AWS customers. With 12 years of industry experience and a PhD in Econometrics, he blends deep academic expertise in time series, high-dimensional statistics and econometrics with practical ML productization. His career spans research roles from post‑doc work in macroeconometrics to senior applied science and economic roles at Amazon, giving him a rare ability to translate rigorous quantitative methods into scalable developer tooling. Based in Seattle, he’s known for turning complex forecasting and statistical insights into production systems that improve developer productivity and customer outcomes.
12 years of coding experience
3 years of employment as a software developer
Bachelor of Science (BSc) Economics, Bachelor of Science (BSc) Economics at Université Paris Nanterre
Doctor of Philosophy (PhD) Econometrics, Doctor of Philosophy (PhD) Econometrics at Aarhus University
Bachelor of Science (BSc) Mathematics and Computer Science, Bachelor of Science (BSc) Mathematics and Computer Science at Pierre and Marie Curie University
Visiting Graduate Student Econometrics and Quantitative Economics, Visiting Graduate Student Econometrics and Quantitative Economics at Princeton University
Contributions:9 commits, 1 push in 1 year 6 months
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Laurent Callot - Principal Applied Scientist And Manager at Amazon Web Services (AWS)