Product Manager · Payments & AI products · Austin, TX · Open to relocation
I find where things break for users, then work with engineers to ship the fix.
Products real people use. Open any one to see the problem, what I did and what changed.
Aurus’s payment-routing and checkout products process more than $40 million a year and over 10,000 transactions a day. Every declined authorization or slow checkout is a lost sale for a merchant.
As Business Analyst on the payments platform for two years, from January 2022 to January 2024, I ran stakeholder discovery, wrote more than 100 requirements and user stories, and prioritized 30+ backlog items. I used SQL and transaction analytics to find where payments were failing, worked through REST API behavior with engineering, and set up the metrics we tracked each sprint.
The authorization-success and latency improvements shipped to production. Checkout failures dropped, and the team went from hitting 65% of sprint commitments to 90%.
An illustrative example written for this site, in the format I used. It is not an actual Aurus requirement.
As a merchant operations lead, I want each failed authorization to show a clear decline reason in the dashboard, so that my team can tell a customer problem from a system problem.
Communities at risk of catastrophic wildfire have no simple way to measure how ready they are, or to find the people and innovations that could help them.
I’m the product manager for the Catastrophic Wildfire Prevention Consortium. I own discovery, strategy, requirements and prioritization across four tools: a Community Wildfire Resilience Scorecard, a Matching Tool that connects communities with solutions, Fire Nexus (a showcase of wildfire innovators) and a chatbot.
The Scorecard, Fire Nexus and the chatbot are live, used by more than 50 communities, partners and users. The Matching Tool’s recommendation engine is in development, and we’re making the chatbot’s answers more semantic and less generic.
Volunteer role, alongside my job search.
As Product Business Analyst, I led discovery for aircraft-maintenance parts workflows, mapped the current and future state, and defined more than 20 business requirements. I evaluated three enterprise inventory platforms through fit-gap, ROI and total-cost analysis, built a KPI framework in Power BI, SQL and Excel, and presented the findings to leadership.
A phased roadmap targeting up to 30% faster maintenance turnaround and 40% fewer manual errors.
These are targets for the rollout, not measured results.
Three AI products I took from problem to strategy: users, MVP, pricing, market, financial model and roadmap. Hover a card for the path, open it for the full story.
Personalized, organic skincare that re-ranks your routine with UV and air quality.
Turns scattered CRM and market signals into one AI brief per lead, with a next step.
A privacy-first memory assistant: wear it, then ask what was said.
A side project, shown as it happens.
An AI voice assistant I’m building on the side. It’s early: I’m still shaping the idea, and this space will hold the research and build log as it comes together.
More than three years across FinTech, aviation and AI-enabled products.
Catastrophic Wildfire Prevention Consortium, remote
The University of Texas at Dallas, 3.87 GPA
UT Dallas × DFW Airport course-based internship
Payments platform: payment routing and checkout, India
KPIs, dashboards and cohort analysis, India
Pune Institute of Computer Technology
I look for where a user gives up, a payment declines or a mechanic waits, and work back from there.
SQL, funnels and cohorts tell me where the problem actually is, so the team argues about solutions, not facts.
A target is a target and a prototype is a prototype. Clear status keeps teams and stakeholders aligned.
Discovery, strategy, roadmaps, PRDs, user stories, MVP scoping, pricing, go-to-market, Agile and Scrum
SQL, Power BI, Tableau, Excel, KPI dashboards, A/B tests, funnel and cohort analysis, market sizing, financial modeling
LLM products, RAG, semantic search, recommendation systems, prompt design, AI evaluation, human-in-the-loop workflows
REST APIs, Postman, payments and checkout flows, data modeling
Jira, Confluence, Figma, Miro, Notion, cross-functional engineering teams
I played tennis at the national level in India until I was 18. It taught me the same thing I chase at work: cut the unforced errors first.