- Solid expertise in deploying machine learning models in real-world environments.
- Hands-on experience in Automated Valuation Models (AVM), LangChain, and LLM-powered applications.
- Proficiency with Python-based data science tools like Pandas, NumPy, Scikit-learn, XGBoost, and LightGBM.
- Skilled in feature engineering, data intelligence extraction, and handling structured, semi-structured, and unstructured data.
- Experience integrating models into APIs and production environments.