Summary
Alex Degtiar is a Senior Machine Learning Engineer with 15 years of experience building and scaling high-throughput distributed systems and ML platforms, most notably driving real-time inference, signal aggregation, and multi-region failover at Dropbox. He blends deep backend engineering—working on petabyte-scale storage, memcache reliability, and Go libraries—with hands-on ML ops: architecting MLflow frameworks, reproducible evaluation pipelines, and production benchmark datasets for pan-cancer RNA modeling. At Exai Bio he cut pipeline costs and modernized core apps while leading dataset creation and studies that directly informed modeling decisions; he also helps teams adopt GenAI tools through training and workshops. A pragmatic problem-solver, Alex has fixed tricky race conditions in popular internal Go tooling and repeatedly taken systems from prototype to 10–20× production scale. Now focused on applying technology for social good, he pairs rigorous academic training from CMU and UC Berkeley with a track record of operational excellence in cloud, infra, and ML.
15 years of coding experience
7 years of employment as a software developer
Bachelor of Science (B.S.) Electrical Engineering and Computer Sciences, Bachelor of Science (B.S.) Electrical Engineering and Computer Sciences at University of California, Berkeley
Master of Science (M.S.) Computer Science, Master of Science (M.S.) Computer Science at Carnegie Mellon University