Pavel Dumin is a Senior Data Scientist specializing in LLMs with a PhD in mathematical modeling and five years of applied experience spanning research, teaching, and production ML. He builds retrieval-augmented systems and led the development of a RAG solution using LangChain and LLaMA3 while now advancing LLM work at EPAM. As a former Head of Lab and Associate Professor, he combines rigorous quantitative research—publications on Scopus and expertise in Markov chains and numerical methods—with hands-on engineering. He also designed and taught a full data science curriculum, mentoring cohorts through projects in CV, NLP, semantic search and production data pipelines. Contributor to the Russian translation of the Hugging Face NLP course and a solo bronze in a data contest, he blends community engagement with competitive problem-solving. Based in Tbilisi, he brings an uncommon mix of academic depth and practical delivery across ML, statistical modeling, and education.
4 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Mathematical Modeling, Numerical Methods and Complexes of Programs, Doctor of Philosophy - PhD, Mathematical Modeling, Numerical Methods and Complexes of Programs at Moscow Aviation Institute (National Research University)
post-graduate, post-graduate at Московский Городской Психолого-Педагогический Университет (МГППУ)
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