I build production AI systems — from multi-agent architectures and LLM fine-tuning to classical ML pipelines. Full lifecycle: research, training, deployment, monitoring.

Core: Python, PyTorch, Transformers, LangChain, LangGraph, FastAPI LLM/NLP: Unsloth, spaCy, Elasticsearch, ChromaDB, Prompt Engineering ML: Scikit-Learn, XGBoost, CatBoost, PySpark, NumPy, Pandas Infra: Docker, Airflow, MLflow, RabbitMQ, AWS, PostgreSQL Languages: C++, SQL, R