Summary
Jeremy Oldfather is a founder and data scientist with 11 years of experience building production-grade time series and AI systems, currently leading Chronulus AI in New York. His career spans academia, government, and industry—most recently as a senior DL scientist at Amazon where he focused on ASIN forecasting and multi-horizon demand models. At the Federal Reserve he engineered a persistent time series store handling tens of terabytes with sub-millisecond retrieval and built APIs to manage HPC-backed forecasting workflows, demonstrating a rare blend of systems engineering and econometric rigor. He has led cross-functional teams to deliver forecasting, price-optimization, and signal-processing MVPs for large enterprises and customers, and is comfortable moving between low-level performance engineering (C/Java) and applied ML (Python/TensorFlow). Collected work shows a consistent theme: turning high-dimensional, real-time financial and operational data into auditable, scalable prediction systems that inform executive decision-making.
11 years of coding experience
15 years of employment as a software developer
Faculty of Political Science, Faculty of Political Science at Saint Petersburg State University
Master of Science (M.S.) Mathematics and Statistics, Master of Science (M.S.) Mathematics and Statistics at Georgetown University
Bachelor of Arts Economics Mathematics Slavic Languages & Literatures, Bachelor of Arts Economics Mathematics Slavic Languages & Literatures at Indiana University Bloomington
Computer Information Systems, Computer Information Systems at Taylor University
Russian