I'm a Product Manager who enjoys taking ambiguous problems from framing to a working, testable product.
I have worked on fast delivery, fulfilment, and post-order experiences at Meesho, following earlier strategy and consumer product work in consulting. I am now going deeper on AI-assisted product workflows, evaluation, and hands-on building.
A mobile-first, constraint-aware itinerary workspace. It detects conflicts, proposes alternatives, previews time, travel, and budget consequences, and applies changes only after explicit confirmation. Existing bookings stay immutable.
What it demonstrates: translating product principles such as user control, explainability, and safe state changes into deterministic interaction logic.
A mobile-first strength and nutrition PWA built around fast meal check-ins, seven-day weight trends, and deliberate workout progression. It combines local-first capture with authenticated cloud sync and revision-conflict protection.
What it demonstrates: turning a personal workflow into an end-to-end product with offline behaviour, data safety, product documentation, and release verification.
- Start with user behaviour and acceptance criteria.
- Build a thin end-to-end slice before expanding scope.
- Treat tests, recovery, and failure states as product requirements.
- Use data and experiments to resolve uncertainty.