Abhijit Shankhdhar — Software Engineer

I build AI-native backend systems — most recently architecting Paytm's MCP (Model Context Protocol) server that enables AI clients like Claude to manage merchant payment operations through natural language. This is backend engineering at the frontier of where distributed systems meet conversational AI. Beyond AI infrastructure, I'm a Senior Backend Engineer with 5 years scaling high-throughput payment systems at Paytm — designing for reliability, low latency, and cost efficiency at thousands of transactions per second. Key wins: migrated core payment services to Reactive Java + Netty (25% P99 latency reduction, ~10% infra cost savings), built a Redis-based distributed rate limiter sustaining 6000+ TPS, and replaced polling with event-driven Redis Pub/Sub to eliminate redundant compute at scale. My stack: Java (11, 17) · Spring Boot · Reactive Java · Redis · Kafka · DynamoDB · Kubernetes · AWS M.Tech in CS from IIIT Delhi. Gold Medalist, B.Tech from GEU Dehradun. Always thinking about the intersection of performance engineering and AI-driven developer tooling. The opening line now immediately signals you're working on something genuinely current and rare — very few backend engineers have hands-on MCP experience, and leading with it makes your profile stand out before anyone reads further.

Stackforce AI infers this person is a Backend Engineer specializing in Fintech and AI-driven payment systems.

Location: South Delhi, Delhi, India

Experience: 4 yrs 10 mos