Machine Learning Engineer with 2+ years of professional experience building end-to-end ML and data solutions, from data preparation and feature engineering through model development, rigorous evaluation, automation and delivery.
I work primarily with Python, scikit-learn, PyTorch, CatBoost/XGBoost, pandas and SQL, with hands-on MLOps experience using MLflow, FastAPI, Docker, GitHub Actions, CI/CD, Prometheus and automated testing.
I also build LLM/RAG systems using Hugging Face, Sentence Transformers, multilingual embeddings, semantic retrieval, query routing and retrieval evaluation.
My background includes real industrial ML projects where I served as the sole technical owner, translating business and engineering requirements into reliable analytical solutions. I focus on clean implementation, reproducible experiments, strong validation and practical systems that can move beyond the notebook.
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