Summary
Vlas Zyrianov is a PhD student and Graduate Research Assistant at UIUC with 11 years of engineering and research experience spanning generative models, compilers, and full-stack systems. He has contributed to published research (ECCV 2022) on diffusion models for LiDAR point clouds and applies generative modeling to autonomous vehicles in Dr. Shenlong Wang’s lab. Vlas combines academia and industry practice through multiple NVIDIA compiler internships where his C++ optimizations were merged to improve shader compilation times, and through full-stack work building dashboards and APIs in C#/.NET. He has strong teaching experience as a lead TA for large CS courses and routinely gives lectures to classes of nearly 200 students. A self-described Chrome extension developer on GitHub, he pairs practical tooling and research, often building data pipelines and replay tools (e.g., Deja Vu) that bridge low-level instrumentation with higher-level analysis. Based in Urbana-Champaign, he brings a rare mix of systems-level optimization, applied ML research, and production software delivery.
11 years of coding experience
4 years of employment as a software developer
GPA: 4.88 weighted; 3.93 unweighted, GPA: 4.88 weighted; 3.93 unweighted at Theodore Roosevelt High School
University of Illinois Urbana-Champaign
Bachelor of Science - BS, Computer Science, 3.9 GPA, Bachelor of Science - BS, Computer Science, 3.9 GPA at Kent State University
Russian, Chinese, English