Sangeet Verma

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

• Built the embedded credit platform from 0 → production, scaling to ₹1Cr ARR under RBI-aligned constraints.

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

• Designed a pragmatic service-oriented architecture 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.

• Introduced ML-driven credit scoring where it directly reduced manual ops cost (not as a science project).

• Reduced loan processing TAT by ~80% while keeping infra spend tightly controlled.

Key CTO Decisions:

• Delayed Kubernetes adoption until team maturity justified it

• Killed one ML initiative that wasn’t improving approval quality

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.

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.

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.