Experience
ML Engineer at nstdata.ru
nov 2025 - Present
I designed an MCP server ecosystem for LLM agents to interact with data and developed a tool-use infrastructure with a React interface. I implemented Qdrant vector search, configured CI/CD in Jenkins, created a Telegram bot, and automated the inference of an insurance product recommendation system, reducing the issuance time by 60%. I also implemented a client profile generation pipeline.
ML Engineer / Tutor at Phystech.Pro
Nov 2023 - Nov 2025
Created and implemented a RAG system based on LLM, which automated 70% of admissions committee responses, and developed an educational infrastructure based on Delta Lake with a problem domain summation model. Taught Machine Learning and Python and trained over eight winners of the "Professionals" and WorldSkills championships in ML, Big Data, and AI robotics.
Previous Position
June 2023 - Present
Developed an automated NLP-based customer email classification system with 1C integration and launched a pilot system for automatic warehouse inventory counting using neural networks. Developed reporting and deferment control systems, and configured API/web services for database synchronization.
Data Scientist
August 2024 - November 2024
Automated data labeling and preprocessing processes in CVAT for computer vision models and developed multi-label and binary classifiers based on transformers (BERT, RoBERTa) for NER and summarization. Conducted research on the implementation of Delta Lake and DVC for data versioning.
Python Developer
October 2021 - March 2022
Developed games in Python and combined them into a single application. Implemented mini-games with voice interaction to provide students with feedback on their completion of teacher assignments.