Summary
Rim Shayakhmetov is a Principal AI Model Lead with 11 years of experience, specializing in building and scaling LLMs and ML systems for drug discovery and chemistry. He has led and grown high-performing teams of ML scientists and engineers, delivering multiple major and minor model releases and 10+ product releases for Chemistry42. Rim combines hands-on research and engineering—defining strategy for SFT and RL/RFT at scale—while aligning cross-functional data teams to ship robust, well-evaluated models for real-world use. His background in applied mathematics, computer science, and data science enables pragmatic solutions that balance accuracy, reliability, cost, and safety under R&D constraints. He is a published co-author on several papers (including AAAI presentations) and has moved research into production features that materially impact molecular design workflows. Based in Abu Dhabi, he brings a rare blend of deep domain expertise in cheminformatics and practical product delivery experience.
11 years of coding experience
9 years of employment as a software developer
Master's degree Computer Science Models and Algorithms for Decision Making, Master's degree Computer Science Models and Algorithms for Decision Making at lSIMA Clermont-Ferrand
Master's degree Data Science, Master's degree Data Science at Higher School of Economics
Lomonosov Moscow State University