At ICE, I design and maintain critical backend data pipelines that transform Kafka, CSV, and web-source data for customer consumption. I also own market data feeds and contribute to core product features.
I built an automated anomaly-detection framework to surface data inconsistencies and improved data accuracy by 10%. Through redundant read servers and request aggregation, I helped maximize system uptime to 99.9%.
Previously at BNT SOFT, Flitpay, Compile Inc., and Read-Ink Technologies, I developed Python and Django applications, ETL workflows, REST APIs, and scalable PostgreSQL-backed data systems. My work has included Airflow automation, Snowflake integration, AWS infrastructure, and CI/CD delivery.
Earlier, at Ruvivo.ai, I built resume-parsing and sales-call analytics backends and implemented a regression model that contributed to a 10% increase in sales. I bring experience across software development, data engineering, and machine learning.

