Context

Insurance endorsement processing was manual and slow, creating bottlenecks for agents handling thousands of cases/month and requiring heavy CSM involvement for routine document access.

The Bet

I defined the end-to-end product vision for Genome — an internal insurance engine — and prioritised API automation and self-serve tooling to remove operational bottlenecks.

How I Built It

• Engineered an end-to-end insurer API automation pipeline from endorsement data to carrier-ready submissions.
• Built automated insurer-format generation pipelines, reducing processing time per endorsement by ~40%.
• Shipped Endorsement Copies on the HR Dashboard for self-serve document access by HR teams.
• Independently prototyped and shipped a production fix using Claude + Figma MCP.

What Changed

• Improved endorsement and agent throughput by 3X.
• Reduced per-endorsement processing time by ~40%.
• Cut CSM support requests by 30% with no additional headcount.

Context

A close family member's prolonged treatment for a serious illness meant years of medical records scattered across handwritten prescriptions, consultation notes, and scans. Continuity of care broke at every new appointment — the burden fell on the patient to reconstruct history each time.

The Bet

The gap was personal, so the product had to be too. A simple family-facing EMR that digitizes existing records, structures them meaningfully, and makes sharing frictionless at the point of care.

How I Built It

• Organized oncology and preventive records into a consistent digital timeline.
• Used OCR-led ingestion flows to convert handwritten material into editable records.
• Structured the output for quick retrieval and simple sharing during consultations.
• Designed the experience around real family use instead of institutional hospital workflows.

What Changed

• Digitized 300+ handwritten oncology and preventive records.
• Achieved OCR accuracy above 85 percent across messy source material.
• Reduced doctor prep time from 15 minutes to under 2 minutes.
• Improved patient engagement through easy EHR sharing.

Context

Collections teams were operating across disconnected systems and manual processes, limiting visibility, agent productivity, and downstream liquidity outcomes.

The Bet

I prioritized building an internal collections portal with workflow clarity, better operational instrumentation, and a roadmap shaped directly by agent pain points.

How I Built It

• Owned backlog and roadmap across approximately 300 user stories in JIRA.
• Worked with stakeholders across business, operations, and tech to sequence highest-impact workflows.
• Shaped the portal around agent usage patterns, resolution actions, and operational visibility.
• Used the product as the backbone for ongoing efficiency improvements rather than a one-time internal tool launch.

What Changed

• Delivered Rs 60L in annual OPEX savings.
• Improved liquidity by approximately 15 percent.
• Enabled 1,500 agents with a more unified workflow layer.

Context

Marketplace sellers needed faster access to working capital in their existing context, but any product had to operate within compliance-heavy lending constraints.

The Bet

I led discovery with Flipkart Marketplace and shaped an embedded product flow that balanced distribution advantage, underwriting needs, and regulated user experience design.

How I Built It

• Ran partner discovery to map seller needs and integration opportunities.
• Defined the user journey for embedded lending access within marketplace contexts.
• Worked through compliance considerations including DPDP and RBI-aligned requirements.
• Coordinated launch across partner, business, product, and engineering teams.

What Changed

• Generated Rs 10 Cr in revenue within 12 months.
• Expanded distribution through a strong marketplace partner channel.
• Delivered a product that balanced growth with compliance rigor.

Context

Meesho's web experience needed to serve a large and growing Tier-3+ audience while improving acquisition quality, engagement, and eventual orders.

The Bet

I focused on web as a growth lever and invested in recommendations, CRM nudges, and platform performance to improve both acquisition and conversion.

How I Built It

• Scaled web experiences for underserved user segments across Tier-3+ markets.
• Launched a product recommendations module to increase relevance and session depth.
• Instrumented Mixpanel to identify funnel drop-offs and behavior shifts.
• Partnered with Google to improve Core Web Vitals and search performance.

What Changed

• Added 6 percent new user acquisition on a 5M user base.
• Improved orders by 2.5 percent on a 2M order base.
• Lifted conversion by 5 percent and increased average session time by 10 seconds.
• Drove 10 percent organic traffic growth.