I'm a data engineer and AI enthusiast with roots in astrophysics and mathematics. These disciplines shape my analytical mindset and creative approach to problem-solving.

My professional journey began in the meticulous world of lab research and evolved into the dynamic realm of data pipeline engineering and production support.

At CircleBlack Inc., I thrived as a Senior Production Support Engineer, maintaining and automating complex custodial data integrations for Fidelity and Schwab. Handling thousands of daily accounts, I developed automated Python scripts, built real-time anomaly detection dashboards, and resolved over 3000 diverse technical issues—boosting operational efficiency and client satisfaction.

Beyond production expertise, I pursue passion projects in modern cloud technologies and AI. My current project, Soulstream, is an emotionally intelligent companion platform that uses advanced AI techniques—custom retrieval-augmented generation (RAG) and interactive memory integration—to create deeply personalized, meaningful AI interactions. This project demonstrates my ability to innovate at the intersection of AI, user experience, and data privacy.

I recently designed and implemented a robust mock Fidelity transaction pipeline leveraging AWS Lambda, Athena, SNS, and Python to proactively catch data anomalies, ensuring data integrity and auditability.

I approach every challenge with relentless curiosity, blending creativity and technology to automate, simplify, and innovate.

Whether building resilient data architectures, exploring the nuances of AI, or engaging with complex astrophysical concepts, I'm committed to continuous learning, growth, and impactful problem-solving.

Explore my latest projects, including Soulstream, and see how I'm harnessing data engineering and AI to make complex problems simpler and smarter in the projects section of this portfolio.