Summary
Ivan Iudintsev is a Tech Lead (ML) with nine years of experience building production-grade machine learning systems across advertising, recommender systems, and voice agents. He combines a strong academic background in applied mathematics from MIPT and Grenoble INP with hands-on engineering in high-throughput services (C++, Python, Go) and big-data stacks. At MTS he led a team of 10+ engineers to deploy LLM-based dialog agents and ASR services, improving call engagement and reducing latency, and previously drove ranking and inference infrastructure at Superjob and Yandex. His work spans research-born ideas (variational generative models) to deployed compression and clustering algorithms in cloud storage, showing an uncommon mix of theory and systems-level optimization. Comfortable owning the full ML lifecycle, he also actively participates in hiring and capacity planning, making him both a technical contributor and an operational leader.
9 years of coding experience
7 years of employment as a software developer
Master's degree, Applied Mathematics and Physics, Master's degree, Applied Mathematics and Physics at Moscow Institute of Physics and Technology (State University) (MIPT)
Master of Science , Industrial and Applied Mathematics, Data Science, Master of Science , Industrial and Applied Mathematics, Data Science at Grenoble INP - Ensimag
English, Russian