Data Platforms and Intelligent Systems

I focus on Data & Software Engineering, Data Science, Machine Learning/AI, and Business analytics—designing reliable data products that move metrics.

Data & Software Engineering

Scalable lakes/warehouses, robust ETL/ELT, governance, and near-real-time analytics. Python, SQL, Airflow, DBT, Spark, Databricks, AWS/GCP.

Experiment design, feature engineering, forecasting, uplift modeling, and decision science with clear, actionable storytelling.

From classic ML to modern LLM applications, retrieval pipelines, and evaluation for production-grade reliability.

Strategy, metrics, and execution—tying data work to meaningful business outcomes and operational efficiency.