Experience
- VP of ProductMarch 2022 – PresentGynger Inc.New York City, NY
- Strategy & Execution: Joined as employee #3 to lead the end-to-end product lifecycle for an AI-powered financing and payments platform. Scaled the product from initial launch to nearing 8-figures in revenue.
- Embedded Financing: Deployed the financing suite in early 2023, underpinned by a proprietary underwriting engine, that has facilitated 9-figure originations by leveraging AI to streamline decisioning.
- Product Expansion: Led the mid-2024 launch of a revenue automation suite, enabling tech vendors to offer flexible payment options to their customers.
- Platform & Growth: Unified AR workflows into a single platform, leveraging deep ERP and CRM integrations to streamline the quote-to-cash process, driving multi-X topline growth.
- Vice President and Lead PM, Banking Tech2021 – 2022Morgan StanleyNew York City, NY
- Scaled the Tailored Lending platform to support high 9-figure annual revenue, driving a 26% CAGR by optimizing credit workflows and digital borrower experiences.
- Led a multi-platform global initiative to transition the multi-billion dollar loan book to Fed-mandated Alternative Reference Rates (SOFR), ensuring regulatory compliance and mitigating systemic risk.
- Product Manager, Banking Tech2015 – 2020Morgan StanleyNew York City, NY ; Montreal, QC
- Increased revenue $5M+ annually by launching a multi-collateral loan product.
- Delivered a reduction of 60% in loan booking time via servicing workflow automation and API integrations.
- Drove 40% YoY loan volume growth by deploying new loan origination system.
- Tech and Data Business Analyst, InternSummer 2014Morgan StanleyNew York City, NY
- Wrote a PRD for a Wealth Management application that was to be used by 16000+ Financial Advisors.
Skills and Expertise
AI Product: LLM prompting & Eval design, Agent workflow architecture, LangSmith, Claude Code, Rapid prototyping
Technical Skills: Python, SQL, GraphQL, API tools, Figma, Retool, JIRA
Product Leadership: Strategy & Roadmapping, Zero-to-one launch, Team management, Stakeholder alignment, Risk & Compliance
Education
- University of Pennsylvania2013 – 2015
Masters in Systems Engineering, GPA: 3.94/4.0
- The Wharton School, University of PennsylvaniaFall 2014
Research Assistant
- Built machine learning models to predict TV show viewership trends using scraped social network data.
- Netaji Subhas Institute of Technology, University of Delhi2009 – 2013
B.E. in Electronics and Communication Engineering, First Division with Distinction
- Carnegie Mellon UniversitySummer 2012
Summer Research Intern, Electrical and Computer Engineering
- Developed a feature extraction algorithm achieving 96% classification accuracy on low-resolution images.