Summary
Matvei Popov is a research engineer and machine learning practitioner with seven years of experience building applied AI systems, currently at Roboflow in San Francisco. He progressed from ML engineering work on RF-DETR, RF100-VL and Roboflow’s Train and Inference products into a dedicated research role, combining production-minded deployment experience with novel model development. His background includes research internships in genomics foundation models and applied projects across academia and startups, giving him fluency in both experimental ML and engineering delivery. Matvei earned a dual focus in Computer Science and Data Science from Trinity University while contributing as an academic computing consultant and ACM tutor, signaling a strong mentoring and collaboration streak. Comfortable moving between research code and production pipelines, he prefers hands-on problem solving that advances model capabilities and developer tooling. Outside typical resumes, he describes himself as “exploring the world,” reflecting a curiosity-driven approach to learning and interdisciplinary work.
7 years of coding experience
2 years of employment as a software developer
High School Diploma, 4.17, High School Diploma, 4.17 at Ribet Academy
Bachelor's degree, Computer Science and Data Science, 3.878, Bachelor's degree, Computer Science and Data Science, 3.878 at Trinity University