Product Manager at Visa2Fly, the $10M ARR B2B visa platform backed by Flipkart Ventures, M Venture Partners, and FinSight Ventures. I ship four product surfaces here: the AI visa engine, the multi-tenant partner platform (425 paying agency tenants, 60% of ARR), the sticker visa journey across 65+ countries, and the org-wide experimentation system. Built the data room and investor model that closed the $2M seed; led 14 investor meetings.
About
I joined Visa2Fly as employee #11 in ops (Jun 2022). Grew into Business Analyst (Nov 2022). Formally promoted to Product Manager, Founder's Office, in Nov 2025. Same company, four years, three lenses on the same problem.
Four product surfaces I ship today: the AI visa engine (OCR + VLM + bot RPA), the multi-tenant B2B partner platform (16 to 425 paying agency tenants in 6 months, now 60% of $10M ARR), the sticker visa journey across 65+ countries, and the org-wide experimentation system. Built the data room and investor model that closed the $2M seed with Flipkart Ventures, M Venture Partners, and FinSight Ventures; led 14 investor meetings.
Operator first. 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.
Experience
Built operations infrastructure from scratch: vendor onboarding, SLA framework, process documentation, and field-agent coordination. Led city expansion into Chennai, Bangalore, Hyderabad, and Mumbai as Entrepreneur-in-Residence (35% CAGR post-launch).
Featured product
The visa product runs end-to-end on AI. 4x throughput on the same team, 96% faster cycle time, 68% lower cost-per-visa. Scroll through what's inside.
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 it can't confidently validate is routed 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, refunds 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 track every stage, so ops sees red the moment something slips.
Selected work
Four distinct product surfaces shipped at Visa2Fly · the AI Visa Engine, the Multi-tenant B2B Partner Platform, the Sticker Visa Consumer Journey across 65+ countries, and the Org-wide Experimentation System. Plus the internal Sales & Ops SaaS and the $2M seed data room. Wireframes for the design-led ones are linked.
Owned the B2B SaaS growth motion at Visa2Fly. Drove the active partner base from 16 to 425 travel-agency companies in 6 months · now 60% of ARR. M-on-M retention lifted from under 5% to 50%. Led market research, design, CTO alignment, A/B testing, and launch of the four levers that moved it: bulk upload (5 to 500 pax), partner dashboard with SLA timers + API, speed/quality (3 min eVisa, 40 min sticker), and the customer success motion.
Compressed the visa booking flow from 8 manual steps to 4 AI-powered steps. Wireframed user flows in Figma, ran design reviews, coordinated CTO + AI engineer + design from spec to launch. TAT 4 days → 40 minutes. Bulk handling 5 to 500 travelers in one go.
The B2B operator surface travel agencies use to manage their travelers' visas through Visa2Fly. Multi-tenant, RBAC, real-time queue with SLA timers, AI-flagged items at top, bulk CSV upload (5 to 500 pax), live webhook activity stream, API usage tracking. Enterprise-grade architecture, SMB to mid-market customer mix.
End-to-end automation: doc matching, cleanup, cross-validation, instant cover letter and itinerary generation, auto-filing, live visa status check, multi-channel delivery. 98% AI accuracy, 2% human-in-loop.
Built the platform the whole org now uses for funnel decisions. Score-ranked routing vs. round-robin, 2,000 leads per arm, 4 weeks, statistical significance reached. Adopted as default across product, sales, and growth.
Built the investor data room and financial model that closed the round. Cap table, ESOP schedules, monthly reporting packs, Q&A coordination. Led 14 investor meetings. Closed with M Venture Partners, Flipkart Ventures, and FinSight Ventures.
Shipped a unified internal SaaS for the 50-person team, replacing three disconnected tools. Designed the data model, instrumented 5 SLAs with automated breach alerts. Paired with CAC/LTV instrumentation in SQL, Python, Tableau that surfaced the calls leadership needed to make.
3 wireframes · booking flow, AI architecture, B2B partner dashboard
Skills
End-to-end product work: field interviews, PRDs, experimentation design, unit-economic gates. I ship product, not slides.
Maharaja Surajmal Institute, GGSIPU, Delhi
Let's talk
Hiring a PM, Founder's Office PM, or Product Ops lead? I'd love a 20-minute chat.
Contact
Role, collaboration, or just a coffee chat about AI products. I'm always up for a good conversation.