Associate Product Manager driving product innovation at the intersection of strategy, technology, and user experience.
Driving product strategy and roadmap for AI-powered invoice automation solutions at an early-stage startup.
Leveraged SQL and data analysis to prioritize features, boosting adoption by 15%. Facilitated Agile ceremonies, collaborated cross-functionally on workflow optimization, and authored data-backed strategic reports for leadership.
Designed the company's first automated testing framework using shell scripting and internal APIs, reducing QA testing time by 40%. Developed a robust JSON logging system for rapid debugging and collaborated with senior engineers and PMs on client requirements.
Built and shipped a full-stack ML platform that automates bug severity prediction (S1–S4) for engineering teams. Trained on 222,000+ Mozilla Firefox bug reports using Random Forest and NLP. Features semantic duplicate detection, human-in-the-loop retraining, and real-time model performance telemetry.
AI-powered invoice automation platform streamlining accounts payable workflows for enterprises.
Custom testing framework that reduced QA cycle time by 40% through automated regression testing.
Data visualization tool that improved feature adoption tracking by 15% through actionable insights.
Always interested in new opportunities, collaborations, and conversations about technology and design.