Sangeet Verma

Founder CTO · Fintech & Marketplaces · 0→1 and Scale

Build and scale engineering organizations that ship fast, stay reliable under Indian scale constraints, and directly compound revenue — while keeping burn, risk, and people problems under control.

CTO with 10+ years building and leading technology organizations across Seed → Series B → Acquisition stages. Founder and hired CTO experience across fintech, marketplaces, and consumer platforms. Proven track record in hiring, scaling, and correcting teams, owning uptime, cost, security, and delivery, and making hard tradeoffs under regulatory and business pressure. Comfortable operating with CEOs, boards, and investors.

Hyderabad, India • sangeet.verma91@gmail.com+91 7795197646LinkedIn

Experience

2022 – Present

Finverv

Co-Founder & Chief Technology Officer

Stage: Seed → early growth (Antler-backed fintech) | Scope: Built org 0→15 | Reported to CEO & investors | Owned infra, security, hiring, delivery

  • Facilitated ₹500cr in disbursals across 25 clients and 15 financial institutions — built the embedded credit platform 0 → production under RBI-aligned constraints.

  • Took the business 0 → ₹1Cr ARR while reducing loan-processing TAT by ~80% with tightly controlled infra spend.

  • Hired and built the engineering org from scratch (backend, data, infra); set the hiring bar, performance reviews, and exits.

  • Designed a pragmatic service-oriented architecture in Go on AWS that scaled without premature complexity; introduced services only when business pressure demanded it.

  • Owned reliability and incident response; handled outages, postmortems, and corrective actions personally.

  • Led build-vs-buy decisions across payments, KYC, analytics, and ML — optimizing for time-to-market and cost.

  • Built ML-driven credit scoring that automated risk decisioning and cut manual underwriting load — shipped because it reduced ops cost, not as a science project.

2019 – 2022

Spinny

Senior Product & Technology Leader

Stage: Hyper-growth marketplace | Scope: 25+ engineers & PMs | Cross-functional ownership

  • Led tech and product execution for supply-side platforms supporting national scale operations.

  • Re-architected auction and pricing systems to improve liquidity and throughput, increasing participation by ~40%.

  • Introduced computer vision–based automation where it clearly reduced ops load; removed manual bottlenecks instead of layering tools.

  • Improved delivery predictability by tightening agile execution and accountability; reduced release cycle time by ~50%.

  • Worked closely with business leaders on cost, SLA tradeoffs, and prioritization during growth spikes.

2018 – 2019

CarDekho Gaadi Stores

Head of Product & Engineering

Stage: Rapid retail expansion | Scope: 45 engineers, designers, PMs | Multi-city operations

  • Scaled engineering and product teams while maintaining operational stability during aggressive expansion.

  • Built a unified platform across CRM, dealer ops, and financing — cutting documentation cycles from ~10 days to ~2 days.

  • Owned uptime, delivery cadence, and vendor integrations during revenue-critical launches.

  • Introduced predictive pricing models to reduce inventory holding time and improve unit economics.

2016 – 2018

ServX (Acquired by CarDekho) (YC w'18)

Chief Technology Officer

Stage: Founder-led startup → acquisition | Scope: Founder CTO | End-to-end ownership

  • Co-founded and built the entire tech stack from scratch; shipped fast under extreme ambiguity.

  • Delivered mobile-first platform that captured ~75% of bookings digitally.

  • Experimented early with IoT and predictive maintenance; scaled only what proved operational value.

  • Led platform stability and multi-city expansion through acquisition without major downtime.

Skills

CTO Competencies (Decision-Level)

  • People & Org (Hiring, Exits, Culture)
  • Execution (Roadmaps, Prioritization)
  • Architecture (Pragmatic Distributed Systems)
  • Business Alignment (Cost Control, Revenue)
  • Risk & Ops (Uptime, Security)

Technical Background

  • Backend: Python, Go
  • Cloud: AWS, GCP, Docker, Kubernetes
  • Data & ML: PostgreSQL, MongoDB, Redis
  • CI/CD & IaC

Open Source (Selective)

Linux Kernel

  • Sound driver contribution

Django & Falcon

  • Performance and middleware fixes