Summary
Alec F is an engineering manager at NVIDIA with eight years of experience building and scaling deep learning systems for production inference. He transitioned through core algorithm roles—helping launch Dynamo as a founding contributor—and now leads efforts to scale inference to planetary scale. His background spans applied research and product engineering, from neural architecture search at Sony R&D to open-source work on Pycsou for inverse problems. Alec combines a strong academic foundation (EPFL, ETH Zürich) and business-minded training (UC San Diego Rady School) to bridge research, product, and operational delivery. Based in California, he focuses on turning cutting-edge deep learning research into robust, deployable systems and infrastructure. An interesting through-line: he moves fluidly between prototype research and large-scale production, often as an early builder on high-impact projects.
8 years of coding experience
5 years of employment as a software developer
University of California, San Diego
Master Degree, Data Science, Master Degree, Data Science at EPFL
Master Thesis, Master Thesis at ETH Zürich
Minor, Management and Strategy, Minor, Management and Strategy at The Rady School of Management- Undergraduate Programs
French, English, German, Persian