VyapGO: Voice-First OS for MSMEs
Key Metrics
- Conducted 80+ user interviews to identify GST compliance friction.
- Shipped 'Voice-to-Invoice' feature, cutting data entry time by 60%.
- Reduced support tickets by 42% via self-serve AI dashboard.
I work at the intersection of user research, technical execution, and roadmap ownership — turning messy real-world problems into products people actually use.
As Founding Engineer at VyapGO and DasetAI, I ran user interviews, built the core product from idea to prototype, and owned the roadmap end-to-end across two AI-native startups.
I ship using the same fluency on both sides — Python, RAG, and LLM integration to build fast, and product thinking to know what's worth building. Targeting Core AI Product Manager and AI-native product roles.
Business & Compliance Copilot for India's 63 Million MSMEs
The Activation Gap: why enterprise AI seat sales did not become daily habits
Most build what is cool. I build what is painful. If users aren't complaining, I'm not building.
Specs are cheap, but untested specs are risky. I prototype in Python/Next.js to de-risk ideas and prove feasibility before engineering picks them up.
"AI" is a feature, not a benefit. Users should forget the AI is there. Invisible UI is the goal.
I'm a product manager who builds close to the metal — I've shipped AI products end-to-end, from user interviews to defining the system that solves the problem. I founded VyapGO and DasetAI, handling everything from customer discovery to shaping the AI product decisions that drove our core metrics.
I want to work as a Core AI Product Manager — a role where I can own the full loop from understanding a hard problem, writing the specs, and partnering with engineering to ship the system that solves it.