Ronert Obst is a Machine Learning Engineering Manager based in Berlin with 12 years of experience bridging statistics, research and production ML. Trained as a statistician (MSc Statistik) and self-taught in programming, he has led data science teams at The New Yorker and now manages ML engineering at Meta, bringing both rigorous experimental methods and large-scale deployment experience. His early career in finance and risk modelling honed expertise in time-series, econometrics and automation, while roles at Pivotal exposed him to Hadoop, Spark and MPP databases for big-data ML. Ronert is comfortable moving from Monte Carlo simulation code in R to production Python/Spark pipelines, and has presented at PyData and Strata conferences, signaling a commitment to community and clear technical communication. Colleagues would note his blend of academic rigor and pragmatic engineering—able to translate complex statistical models into scalable systems. He combines a research mindset with hands-on operational know-how, making him effective at turning experiments into reliable, production-grade ML solutions.
12 years of coding experience
9 years of employment as a software developer
Ludwig Maximilian University of Munich
BSc, Economics, BSc, Economics at Freie Universität Berlin
Contributions:579 commits, 103 pushes in 6 years 11 months
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Ronert Obst - Machine Learning Engineering Manager at Meta