At Signify / CVS Health, I spearheaded an agentic AI transformation for enterprise data governance using Azure AI Foundry and Model Context Protocol integrations, cutting compliance cycles by 45% and saving $320K in audit overhead.
I implemented autonomous Risk Register automation and policy workflows with Human-in-the-Loop checkpoints, accelerating control reconciliation from three weeks to two days. I also developed dbt-expectations test suites across Snowflake and Databricks, helping achieve 99.8% regulatory reporting accuracy.
At State Street Corporation, I orchestrated fault-tolerant workflows that reduced manual data remediation by 50%. I also developed streaming pipelines that brought compliance anomaly detection latency from four hours to under 10 minutes.
On my GenAI RAG & Agentic Evaluation System project, I built a retrieval platform with hybrid search and cross-encoder reranking, improving answer retrieval precision by 28%. I also implemented safety controls, prompt injection defenses, and grounding verification.
