Summary
Martin Lumiste is a Machine Learning Engineer with nine years of experience applying economic theory and statistical rigor to production ML systems, from real-time pricing and routing at Bolt to neural video compression research at Microsoft. He blends hands-on engineering—building ETLs, inference pipelines, and A/B tests—with leadership of large data science teams and technical delivery for strategic projects like deploying LLM agents. His background in econometrics and mathematical statistics informs principled approaches to forecasting, marketplace pricing, and dynamic traffic modelling at scale. Comfortable across Python, Airflow, Spark and cloud infra, he frequently works end-to-end from data collection to production monitoring. He also publishes occasional technical writing at mlumiste.com, reflecting an interest in making complex ML ideas accessible.
9 years of coding experience
10 years of employment as a software developer
Master’s Degree, MRes Economic Theory and Econometrics (doctoral track), Master’s Degree, MRes Economic Theory and Econometrics (doctoral track) at Toulouse School of Economics
Master’s Degree, MA Economics w/ Mathematical Statistics, Master’s Degree, MA Economics w/ Mathematical Statistics at University of Tartu
French