Engineer first,
data always.

I build reliable, scalable data pipelines and systems. I enjoy automating workflows and delivering clean, well-modeled datasets for analytics and ML.

My background spans the full data lifecycle: ingesting messy source data, modeling it into trustworthy datasets, and serving it through dashboards and APIs that people actually use. At Wipro, I worked on enterprise ETL on AWS — Glue and PySpark pipelines, delta loads, and ERP migrations — and learned that the best pipeline is the one nobody has to think about.

More recently I've been exploring the intersection of data engineering and applied AI: building LLM-powered tools like an AI resume builder and an automated job board, where the unglamorous work — parsing, cleaning, structuring data — is what makes the AI part actually work.

I'm based in Cincinnati, Ohio, and hold a Master's in Information Technology from the University of Cincinnati.