Ronak Kotak

I’m a VP, Product Manager with 8.5+ years of experience building and scaling data and AI platforms that transform unstructured inputs into reliable, structured systems at enterprise scale. My focus is on platform foundations rather than surface features — where correctness, governance, and long-term maintainability matter most. At JPMorgan Chase, I own end-to-end product strategy and delivery for AI-powered document intelligence and data platforms supporting a large, multi-team loan servicing ecosystem. My work sits below the UI layer, spanning data ingestion, classification, extraction, normalization, schema consistency, validation, and platform reliability. 1. Led product strategy for an AI-driven document intelligence platform processing 150K+ financial PDFs per month, increasing automated extraction coverage from ~40% to 85% and significantly reducing manual processing. 2. Designed canonical schemas and data models, enabling reuse across 5+ downstream analytics and reporting workflows and reducing reconciliation and rework by 30–40%. 3. Architected end-to-end AI and data pipelines (ingestion → extraction → validation → storage → APIs), improving throughput by 2X and enabling near-real-time data availability. 4. Established model evaluation frameworks and human-in-the-loop review workflows, driving a 20–25% improvement in extraction accuracy and faster model iteration. 5. Improved scalability and reliability through cloud architecture and monitoring, supporting 99.9%+ pipeline uptime for high-throughput workloads. 6. Enabled 6–8 internal teams through shared platform capabilities, reducing duplicate development effort by ~35%. My strength lies in translating business objectives into robust, scalable technical systems. I work closely with engineering, data science, infrastructure, and operations teams to design cloud-native, API-first platforms that are compliant, observable, and extensible by default.