Engineered AI-powered automation tools and intelligent workflows to support federal acquisition teams. Focused on building document intelligence platforms, anomaly detection pipelines, and full-stack internal tools to streamline proposal development, QA, and contract compliance.

Built large-scale ETL pipelines, contract scoring tools, and data validation systems for federal contracts. Created automated trackers and dashboards for opportunity scoring, capability mapping, and anomaly detection across public procurement data sources like SAM.gov and GovWin.

Worked on BERT-based QA systems for classification accuracy and model drift tracking. Built real-time dashboards and testing pipelines to ensure traceability and efficiency in annotation workflows.

Led data-centric research on transformer-based models for question answering, focusing on performance evaluation, error analysis, and data quality. Worked on improving annotation workflows through automated QA checks and integrated feedback systems to optimize training data.