Summary
Nicolas Carrara is a quantitative developer and former postdoc with 9 years of experience building production-grade Python and Rust systems that bring reinforcement learning into finance and transport. He currently develops ML-driven commodity trading infrastructure at Qube Research & Technologies and previously founded myrill.io, shipping deep RL market-making agents, Solana smart contracts in Rust, and multithreaded Python trading stacks. His research pedigree (PhD and postdoc) includes a novel VAE for traffic control and multiple peer-reviewed papers on dialogue systems and safe RL, and he led a 20k+ line RL library used across university teams. Comfortable across AWS, Cython, asyncio and low-latency connectivity to exchanges, he combines rigorous academic methods with hands-on deployment experience—and once scaled a dialogue system to handle 100x more users while collecting thousands of real user interactions. Based in Paris, he blends entrepreneurial product sense with deep technical expertise in ML and systems engineering.
9 years of coding experience
6 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Universite de Lorraine
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Lille 1 Sciences and Technology
Summer School Natural Language Processing, Summer School Natural Language Processing at Instituto Superior Técnico
French, English