Problem
Build and scale consumer products with strong engagement and retention, under startup
constraints and constant iteration.
Constraints
Lean team, fast cycles, shifting priorities, and the need to ship while learning
directly from users.
What I did
- Shipped 4 products end-to-end (strategy → execution → iteration).
- Led a team of 8 across functions and delivery.
- Owned the founder stack: product decisions, ops, finances, hiring, user
conversations, networking, fundraising.
- Built systems designed for rapid iteration and measurable learning loops.
Outcome
35K MAUs
~45% retention
High engagement and repeated usage at scale
Repeated MVP shipping in < 15 days when required
Key takeaway
Speed + ownership wins when you connect shipping to metrics, not opinions.
Problem
Help shoppers discover and decide faster using conversational guidance, improving
conversion and basket quality.
Constraints
High SKU complexity, personalization needs, and the need for trustworthy responses
grounded in catalogue + user context.
What I built
- An agentic shopping assistant with access to catalogue, user inputs, and user
information/context.
- Training foundation using ~25 lakh purchase data and a fashion intelligence
knowledge base built over time.
- Conversation and search flows designed to reduce friction and guide intent →
purchase.
Outcome
2.5× conversion increase
+28% AOV
Why it worked
Because it combined high-signal data (purchase history) with real-time context, and
shipped as a practical system—not a demo.
Problem
Reduce repetitive support workload while improving speed and consistency of customer
responses.
Constraints
Support workflows change frequently; the ops team needs control without engineering
bottlenecks.
What I built
- A customer support agentic AI for repetitive tickets and faster resolution.
- A control system so the Perfora team could create custom workflows and deploy
changes quickly.
- An operational setup that made iteration safe and fast.
Outcome
50% reduction in manual tickets
Significant cost savings and improved customer
satisfaction
Key takeaway
Agents become valuable when the business team can control them safely and ship workflow
changes instantly.
Rapid MVP shipping systems
Team + delivery operating rhythm
User research loops → product iteration
Budgeting + financial ownership as founder
Partner/client-facing solution delivery