Summary
Sylee Beltiukov is a PhD student and research assistant at UC Santa Barbara with a decade of experience at the intersection of networking, security, and machine learning. He builds practical ML-ready network infrastructure and tools—authoring netUnicorn for iterative data curation, PINOT for campus-scale measurements, and Trustee for diagnosing model underspecification. His industry work includes deploying LLM-driven syslog analysis at Google and advancing payments fraud foundation models, showing a track record of moving research into production. Past roles span on-device ML, congestion control, and reinforcement learning, reflecting deep systems and applied ML expertise. He is also passionate about democratizing network research and exploring extra-terrestrial networking challenges such as Deep Space Network problems.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, 4.0, Doctor of Philosophy - PhD, Computer Science, 4.0 at UC Santa Barbara
Master of Science - MS, Computer Science, 4.0/4.0, Master of Science - MS, Computer Science, 4.0/4.0 at Peter the Great St.Petersburg Polytechnic University
Русский, English