Professional Overview
Machine Learning Engineer with a strong Data Engineering background, experienced in building end-to-end ML solutions with Python, scikit-learn, MLflow, FastAPI, Docker, and cloud platforms. I have developed production-oriented ML pipelines, including model training, hyperparameter optimization, experiment tracking, batch inference, monitoring, and API deployment. I also have hands-on knowledge of MLOps practices and implementing data and AI governance, including security, compliance, access control, data quality, and lifecycle management in enterprise environments.
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
