Summary
Jesus Orduna is a Senior Machine Learning Lead with 11+ years applying physics-grade rigor to large-scale data problems across industry and national labs. Trained as a PhD physicist, he has led petabyte-scale analyses and distributed computing efforts for LHC collaborations and translated that experience into production ML and data engineering roles at Sears, UL, and now Mars. He combines deep statistical and algorithmic expertise (regression, time series, clustering, simulation) with hands-on proficiency in Python, C++, SQL and cloud platforms (GCP, AWS, Azure) to deliver end-to-end solutions. His work spans demand forecasting for tens of millions of SKU-store combinations to prototyping Vertex AI proofs-of-concept that informed strategic decisions. Known for clear communication, he routinely bridges research, engineering, and business stakeholders and runs workshops to upskill leadership in ML concepts. An uncommon strength is his track record of moving innovations from academic-scale distributed systems into operational, revenue-impacting products.
11 years of coding experience
14 years of employment as a software developer
Engineer’s Degree, Aeronautics, Engineer’s Degree, Aeronautics at ESIME-IPN, Mexico City
Doctor of Philosophy (Ph.D.), High Energy Physics, Doctor of Philosophy (Ph.D.), High Energy Physics at CINVESTAV, Mexico City
English, Spanish