Core contributor to OneTrust's market-leading Data Discovery classification engine, building large-scale systems that power enterprise data discovery and compliance workflows.
Led the implementation of Classification V2 using Java and Rust, significantly improving entity detection accuracy, throughput, and system robustness in production.Designed and productionized high-accuracy classification models through deep research, large-scale experimentation, and continuous validation.
Selected to join OneTrust Labs, a CIO-sponsored AI Innovation team, to deliver the company's first
LLM-powered AI agents for PIA and TPRM products.Played a key role in upgrading and extending the Assessment Auto-Completion RAG pipeline, substantially improving accuracy, reducing manual effort, and expanding the range and complexity of questions the AI agents can reliably answer. Evaluated and prototyped advanced retrieval and reasoning approaches, including early Graph-based RAG designs, to inform long-term AI platform strategy.
Currently transitioning to the AI Platform team, contributing to the design of a foundational AI agent platform intended to support scalable, secure, and extensible AI-driven products across the company.
Named inventor on two pending patents related to data discovery and classification technologies:
US20240070319A1 - Methods and Systems for Detecting Entities Using Custom Classification Techniques
US20250061154A1 - Generating probabilistic data structures for lookup tables in computer memory for multi-token searching