Senior Software Engineer at ZopSmart, building production-grade distributed systems in Java and Spring Boot that process 10M+ events/day across enterprise retail infrastructure.
What I work on:
I design and maintain cloud-native microservices on Kubernetes — event-driven pipelines with Kafka and Apache Storm sustaining ~10K TPS, zero-downtime migrations of 40M+ records across Cassandra and PostgreSQL, and reliability patterns (circuit breakers, DLQ recovery, idempotent processing) that eliminated cascading failures under peak load.
Recently, I've been deep in the GenAI/AI Agents space — deploying Spring AI and Model Context Protocol (MCP) servers as production AI agents, exposing backend APIs as LLM-callable tools, and integrating AI code assistants into team workflows. This cut incident triage time by ~30% for our 6-engineer team.
Stack:
Java Spring Boot Kafka PostgreSQL Cassandra Redis AWS Kubernetes Docker Gradle
Spring AI MCP OpenAI API Anthropic API RAG
Prometheus Grafana Datadog JUnit Karate BDD/TDD
Some things I've shipped:
- Reduced P95 API latency by 25% through JVM tuning, query optimization, and caching redesign
- Cut production incident rate by 50% with resilience engineering across service boundaries
- Revamped CI pipelines — build times from 32 min to under 10 min
- Achieved 90%+ test coverage with BDD automation, cutting regression cycles by 50%
- Built service templates that reduced new microservice bootstrap time by 40%
What I care about:
Distributed systems, system design, resilient architecture, and making AI agents actually useful in production — not just demos. I like working on problems where reliability, scale, and developer velocity intersect.
B.Tech CS from JUET Guna (8.8 CGPA).