Summary
Virgile Landeiro is a Senior Software Engineer and machine learning specialist with 12 years of experience building production-grade ML systems and tooling, currently based in Seattle. He has a strong track record of turning research prototypes into scalable, cost-efficient pipelines—most notably cutting a model evaluation runtime from 8 hours to 15 minutes and saving ~$10K/week in GPU costs by redesigning data loading. Comfortable leading small teams, he combines architecture, mentoring, and hands-on implementation across AWS, ETL, and ML stacks. His background spans academic research (PhD-level) through industry roles at Amazon, Tempus, and Uptake, evidencing both statistical rigor and production discipline. A practical optimist, he often focuses on developer experience improvements that unlock large operational gains.
12 years of coding experience
10 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at ENSEIRB-MATMECA - Bordeaux INP
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Illinois Institute of Technology
Cycle Preparatoire de Bordeaux
English, French, Spanish