ML Engineer with 4 years of experience delivering production ML systems for e-commerce and industrial domains. Core focus: recommender systems and ranking, semantic retrieval/embeddings, applied NLP components, Reinforcement Learning, Classic ML + EDA. I work end-to-end: data & features, modeling, experimentation (A/B), deployment, and monitoring.
- RecSys & Retrieval: ranking/retrieval, embeddings, cold start, offline eval, A/B testing
- NLP / LLM-adjacent: embeddings-based search, Sentence Transformers / cross-encoders
- Data & Infra: ClickHouse, PostgreSQL, Redis + RediSearch Vector, FAISS, HNSW, Airflow, MLflow
- Backend / MLOps-ish: FastAPI, Docker, CI/CD, monitoring with Prometheus/Grafana
- Languages: Python, SQL | English: B2
