Dharmendra Ladi

I've spent 18 years actually shipping it at scale, in production, for 250+ B2B clients. I started in the trenches. At Tavisca (now part of JP Morgan Chase), I spent 8+ years architecting global travel booking platforms and growing an engineering team from 0 to 21. At Schlumberger, I led microservices adoption on Google Cloud and improved mobile performance by 86% on systems running mission-critical oil & gas operations. Two decades of building software that absolutely cannot fail taught me something most builders learn too late: architecture is destiny. In 2019 I co-founded Vervotech to fix a problem the travel industry had quietly accepted as unsolvable, fragmented, dirty hotel data costing billions in lost conversions. We built an AI-driven mapping platform from zero to 99.9% accuracy, won the World Travel Tech Awards three years running. Now I'm focused on what I believe is the defining shift of this decade: turning AI from a feature into a platform capability. I'm building in public, and writing the playbooks I wish I'd had across platform architecture, AI-native product building, and the unglamorous work of scaling a bootstrapped company through acquisition. What I write about: → Building AI-native B2B SaaS platforms: architecture, multi-tenancy, ML-driven data systems → Scaling bootstrapped startups from 0 → acquisition: GTM, pricing, enterprise deal mechanics → Cloud-native engineering across AWS, GCP, Azure → Engineering leadership: hiring, org design, distributed team velocity → Operating across CTO ↔ CEO ↔ CPO — where tech, product, and commercial execution actually meet If you're building an AI-native SaaS platform, scaling an engineering org, or weighing bootstrapped vs. venture, I'd love to swap notes. DMs open. Lead with what you're building. #AISaaS #PlatformEngineering #CloudNative #ProductStrategy #B2BSaaS