I design and deploy production-grade data systems that transform raw financial and behavioral data into intelligent, decision-ready insights.

With hands-on experience in scalable ETL pipelines, credit risk modeling, and machine learning systems, I specialize in bridging data engineering with applied AI. I work with tools like Apache Spark, Airflow, PyTorch, and TensorFlow.

The sections below highlight selected architectural case studies and technical deep-dives that demonstrate how I design, optimize, and scale data systems for real-world impact.