OCR extraction
Document intake runs through a tuned OCR layer that pulls passport, photo, and form fields from scans and phone photos, even crumpled ones. Fields normalize into a schema the rest of the product trusts.
Product at Visa2Fly, the $10M ARR B2B visa platform backed by Flipkart Ventures, M Venture Partners, and FinSight Ventures. I ship four surfaces: the AI visa engine, the multi-tenant partner platform, the 65-country consumer journey, and the org-wide experimentation system. Every claim on this page has a number attached.
Five numbers from four years of shipped work, FY 2022 to 26. Each one is auditable; ask me about any of them.
Joined Visa2Fly as employee #11. Ops first, then analytics, now product out of the Founder's Office.
I prefer the messy middle of 0-to-1: writing the PRD, sitting next to the AI engineer, watching the funnel the day after launch. I trust SQL more than vibes.
Run product across four surfaces: AI visa engine, multi-tenant partner platform, 65-country consumer journey, experimentation system. Report to the co-founder (CTPO).
Built the org's experimentation system, the unified Sales and Ops product, CAC/LTV analytics, and the data room that closed the $2M seed.
Founding-team operator. Stood up vendor onboarding and SLA frameworks; led city expansion across Chennai, Bangalore, Hyderabad, Mumbai. 35% CAGR post-launch.
Visa2Fly · Multi-tenant B2B SaaS platform · $10M ARR
Visa2Fly · Analytics, experimentation, growth instrumentation
Visa2Fly · 11-person founding team
Runs end to end on AI: 4× throughput on the same team, turnaround ~15h to ~1h, traveller cost ~$1.00 to ~$0.25. Five stages, each with a measured gate.
Document intake runs through a tuned OCR layer that pulls passport, photo, and form fields from scans and phone photos, even crumpled ones. Fields normalize into a schema the rest of the product trusts.
A vision-language model verifies every OCR pull: matches passport photo to form, flags mismatched names, spots blurry pages, reads handwritten edits. Anything below confidence routes to a human before we touch a government portal.
Automated bots file the validated application into each country's portal, handling session state, captchas, and varying form shapes. What took agents 20 minutes of copy-paste now finishes in under 3.
Payment orchestration triggers at the right handoff: government fees, service fees, auto-refund on rejection, with reconciliation back to finance. No stuck applications waiting on a payment ticket.
Once a visa is granted, the product downloads the approval, packages it with travel docs, notifies the customer, and closes the loop in CRM. SLAs go red the moment something slips.
Click a row for the one-paragraph version. Wireframes are linked where design led the work.
Hiring a B2B SaaS PM, an APM with operator range, or a Founder's Office generalist? I'd love a 20-minute chat. Role, collaboration, or coffee about AI products: all welcome.