Python engineer with experience in building production-grade backend systems, data pipelines, and ML-powered applications. Skilled in designing end-to-end solutions, from FastAPI services and PostgreSQL schemas to Airflow-orchestrated ETL pipelines and XGBoost models with full MLOps tooling (MLflow, SHAP, Docker). Experienced deploying multi-tenant AI platforms, real-time scoring engines, and data warehouses in regulated and cloud environments. Focused on the intersection of robust backend engineering and applied machine learning.
