Artem is an NLP and LLM engineer with a strong mathematical foundation from the Lomonosov Moscow State University Faculty of Computational Mathematics and Cybernetics and a specialised master's in machine learning, with deep knowledge of NLP theory, transformers and attention mechanisms.

At Al Banyan Tree Research he develops RAG systems and LLM agents, building agentic pipelines on LangGraph with search, code-execution and browser tools, retrieval and observability. He also built a multi-agent deep-research system that pairs a planning agent with ReAct agents for autonomous web research. Earlier, as a Systems Analyst at GlowByte on a Sberbank project, he designed data models for analytical data marts and queried large banking datasets in SQL on Greenplum.

Education: Master's in Machine Learning, Central University, since 2025; Bachelor's in Operations Research, Lomonosov Moscow State University Faculty of Computational Mathematics and Cybernetics, 2021–2025.

Skills: Python · LangGraph · LangChain · RAG · LLM agents · ReAct · tool & function calling · prompt engineering · embeddings · semantic search · retrieval evaluation · transformers · attention mechanisms · FastAPI · Docker · Playwright · LangFuse · FAISS · Chroma · PostgreSQL · Greenplum · SQL · English (B1+)