Summary
Thomas Duvernois is a Senior Software Engineer based in New York with 11 years of experience building scalable data and production systems across finance, insurance, and consumer tech. He blends software engineering, data science and data engineering—shipping high-throughput Go and Java microservices, real-time data pipelines with Apache Beam, and ML-backed fraud solutions in C# and SQL Server. At Shift he led ML framework and caching library design that reduced latency and scaled a U.S. team from single digits to 100+ employees; at BlaBlaCar he built real-time services serving thousands of RPS. He has hands-on cloud and infra experience (GCP, Kubernetes, Terraform, Azure CI/CD) and a track record of performance tuning via profilers, parallelism and caching. Thomas pairs academic training in industrial engineering and operations with practical product delivery, frequently translating stakeholder feedback into deployable ML systems. Colleagues know him as a curious technologist who moves projects from prototype to production while mentoring newcomers.
11 years of coding experience
10 years of employment as a software developer
Master's Degree Industrial Technology and Operations, Master's Degree Industrial Technology and Operations at Illinois Institute of Technology
Certificate in Data Science Data Science, Certificate in Data Science Data Science at Université Paris Dauphine - PSL
Master's Degree in Industrial Engineering Industrial Engineering, Master's Degree in Industrial Engineering Industrial Engineering at Grenoble INP - UGA
English, French