Summary
Nick Knizev is a technology leader and co-founder currently serving as CTO at Wizium and Principal ML Engineer at Sage, with over a decade building production ML systems across enterprise and consumer domains. He combines deep academic rigour—a PhD in Mathematical Modeling—with practical impact from roles at Meta, where he led time-series forecasting and co-developed a guided image generation tool, to industrial projects that delivered multimillion-dollar savings. Nick is the principal author of the popular Kats time-series library (5k+ stars) and founder of a national ML contest that scaled to ~2,800 annual participants, reflecting his commitment to open source and community-building. Comfortable moving between neural diffusion models, LLMs and classical forecasting methods, he specializes in turning complex modeling research into reliable, deployable pipelines and orchestration for real-world workflows. An unusually broad background spanning VLSI optimization, academic teaching, and enterprise ML gives him a rare ability to bridge theory, systems engineering and product execution.
10 years of coding experience
18 years of employment as a software developer
Lomonosov Moscow State University
Doctor of Philosophy (PhD) Math modeling computing methods and program complexes, Doctor of Philosophy (PhD) Math modeling computing methods and program complexes at Keldysh Institute of Applied Mathematics
English