Ivan Marin is a Principal AI Engineer and physicist with a PhD from Universidade de São Paulo and over a decade of experience translating high-performance computational science into production-grade AI and data platforms. He has led regional data science teams at Cargill and served as a Distinguished Member of Technical Staff at Daitan, delivering solutions across anomaly detection, complex time-series forecasting, fraud detection on images, and supply chain optimization that have captured multi-million dollar value. Equally comfortable in research and industry, Ivan’s background spans semiconductor physics, hydrogeology and magnetic resonance to big data architecture, ML model deployment and GenAI-enabled manufacturing use cases. He specializes in taking projects from customer discovery through architecture and production, blending rigorous modeling skills with systems design to build scalable data products. An uncommonly strong bridge between HPC-style numerical modeling and pragmatic ML engineering, he often finds novel solutions by combining domain physics with modern machine learning.
12 years of coding experience
7 years of employment as a software developer
PDEE Visiting Scholar Groundwater Simulation, PDEE Visiting Scholar Groundwater Simulation at University of Minnesota
Bachelor of Science - BS Physics, Bachelor of Science - BS Physics at USP - Universidade de São Paulo
Doctor of Philosophy - PhD Hydrogeology Hydrology Computational Simulation Nuclear Waste Repositories, Doctor of Philosophy - PhD Hydrogeology Hydrology Computational Simulation Nuclear Waste Repositories at EESC-USP / Escola de Engenharia de São Carlos
Contributions:2 releases, 2 PRs, 38 pushes in 1 year 5 months
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