Product judgment + hands-on building
Accountable workflow design starts with the operating decision.
I design human-approved AI workflow products that keep evidence, validation, exceptions, and reviewer decisions visible.
A product and systems background
My verified professional history spans product engineering, product analysis, merchant intelligence, onboarding, recommendations, analytics, experimentation, QA, release reliability, and independent workflow prototypes.
I worked at PayPal from July 2019 to January 2024 across product, data, and engineering responsibilities. Since March 2024, I have worked independently from Hyderabad, building workflow prototypes, product flows, PRDs, validation logic, approval states, and measurement plans.
Earlier, I worked at Donato Technologies from October 2018 to June 2019. My education includes Washington State University and IIT Dhanbad.
Why that matters for AI workflows
Product
Begin with the user, decision rights, workflow behavior, and measurable outcome.
Data and systems
Define source authority, deterministic rules, edge cases, and controlled interfaces.
Human control
Make review, correction, approval, rejection, and escalation first-class states.