Kamlesh Kawadkar

I’m a Lead Software Engineer/Architect with 12+ years of experience building distributed backend systems and AI-driven platforms. I’ve delivered 0→1 systems, scaled backend platforms handling 100M+ data and 10K+ QPS, and reduced latency by focusing on architecture, cross-collaboration, scalability, and platform evolution.

At Michelin - AI & DMINT (2021 – present), I’m a founding engineer of DMINT. I designed and shipped an LLM-powered GenBI platform using agentic frameworks (Mastra, Pydantic AI) with MCP servers (Dremio, MongoDB), reducing manual analysis effort ~60%.

I architected DMINT as an event-driven orchestration platform (8+ services) for onboarding, subscriptions, cross-application event ingestion, and job lifecycle management with monitoring for operational visibility. I also scaled the data layer for high-volume, latency-sensitive consumers—multi-index deduplication for inconsistent dealer inputs, Dremio-backed data APIs (~300 RPS across 3 regions), and a vehicle search system for 100M+ records at 10K+ peak QPS with microsecond latency.

Earlier, as a Senior Consultant at Capgemini (2018 – 2021), I built event-driven microservices on Azure (Java, Spring Boot, Service Bus, Kubernetes) and supported €600K+ in revenue impact. Before that, at Infosys and UST Global, I delivered B2B platforms and migrations, and built AI/IoT POCs—leading me to consistently blend backend engineering with pragmatic AI outcomes, including ~€6M impact from an agentic AI recovery workflow and €1M+ from a Search by Plate system.