Experience
- Head of ProductMarch 2022 – PresentGynger Inc.New York City, NY
- Product Leadership: Employee #3, owning the end-to-end product strategy and execution for an AI-powered financing and payments platform.
- Embedded Financing: Deployed a financing platform with a proprietary automated underwriting engine that has facilitated 9-figure loan originations since its early 2023 launch.
- Revenue Automation: Delivered a mid-2024 expansion into full-scale revenue and payments automation, enabling tech vendors to advance revenue by offering flexible payment options to their customers.
- Platform & Growth: Unified various financial workflows—AP, AR, CRM and ERP syncs—into an integrated platform, driving multi-X topline growth and nearing 8-figures in ARR.
- Vice President and Lead PM, Banking Tech2021 – 2022Morgan StanleyNew York City, NY
- Led product development for Tailored Lending platform, driving 26% CAGR and supporting high 9-figures in yearly revenue.
- Delivered Fed-mandated Alternative Reference Rates across the multi-billion dollar loan book by leading a cross-functional and multi-platform/team initiative.
- 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
Product Leadership: Strategy, Roadmap planning, Stakeholder management, Product launches, Branding
Technical Skills: Python, SQL, GraphQL, API tools, Figma, Retool, JIRA, Prompt engineering, AI tooling
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.