Summary
Roman Garipov is a Machine Learning Researcher with 8 years of engineering and research experience, currently conducting full-time AI work at Yandex Research x HSE Laboratory with a focus on LLMs, reasoning, alignment, and reinforcement learning. He holds a master's in AI from ITMO University and has progressed from software and data roles to ML research, shipping practical solutions from Deep Hough Transform segmentation to LLM efficiency studies. Author of papers on reasoning and speculative decoding, Roman blends rigorous experimentation with production-minded engineering experience at Yandex, VK, and OneMarketData. Actively seeking PhD opportunities, he pairs academic curiosity with hands-on skills in model efficiency and dataset construction—an asset for teams tackling scalable, aligned LLM research.
8 years of coding experience
2 years of employment as a software developer
Master's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at ITMO University