AI-Driven Regulatory Response Platform (FAANG)
Led a global team building an AI application that generates consistent regulatory responses and supports internal controls—saving roughly 100 hours per week versus the manual process.
I led a global, cross-time-zone team developing an application for a FAANG company to drive consistent regulatory responses and internal-controls development. It uses Retrieval-Augmented Generation (RAG) over vector databases with multiple LLMs (Claude, ChatGPT, Gemini) plus automated quality-control (QC) agents, built on Google Cloud Platform with Node.js (developed with Cursor). The solution saves approximately 100 hours per week compared to the manual process.
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