Léopold Houdin is a Senior Data Engineer with nine years of experience building data platforms and models across oil & gas, retail, and clinical trials domains. He combines hands-on pipeline engineering at scale with statistical and probabilistic modeling, having moved from R&D on subsea machinery monitoring to production data systems and ML-driven site scoring for clinical trials. At PandaScore he currently focuses on data engineering challenges, after leading ingestion and storage architectures (AWS Kinesis, S3, DynamoDB) and team efforts at Tiller. He has a strong research background—doctorate work on limit-cycle characterization for bio-inspired robotics—and applies that rigor to pragmatic product analytics and predictive modeling. Comfortable across the stack, he blends signal-processing and stochastic methods with modern data infrastructure to extract actionable insights from messy, heterogeneous sources. Based in Greater Paris, he’s known for adapting technical approaches to diverse industries and translating complex data into operational decisions.
9 years of coding experience
6 years of employment as a software developer
Engineering Master's Degree, Computer Sciences Engineering for Decision Support, Engineering Master's Degree, Computer Sciences Engineering for Decision Support at IMT Atlantique
Contributions:1 release, 25 PRs, 61 pushes in 17 days
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