(Distributed Systems, Scalable APIs, Cloud-Native Platforms)
Building high-scale backend systems with Java, Spring Boot, Redis, Kafka, Kubernetes, and CI/CD
🌍 Based in New Delhi, India
- Architect and optimize scalable backend systems serving 10M+ users
- Build production-grade APIs and microservices with strong focus on performance, reliability, and clean service boundaries
- Design high-concurrency workflows using Redis locking, Kafka-driven async flows, and resilient backend patterns
- Improve system efficiency through query tuning, caching, observability, and CI/CD automation
- Solve real production problems with measurable impact, not just features
- Built a high-concurrency booking engine handling 1000+ concurrent requests with 100% slot allocation accuracy
- Engineered a Redis-backed locking layer to eliminate double-booking in critical transactional flows
- Reduced API latency by 40% and lowered database read load by ~70%
- Improved system reliability by 25% with fault-tolerant recovery mechanisms
- Scaled backend infrastructure for 10M+ users
- Delivered 80+ production-grade REST APIs
- Modernized monolithic architecture into microservices, improving DB performance by 35%
- Strengthened access control using Keycloak RBAC across complex user flows
Languages & Backend: Java (8/11/17), SQL, JavaScript, Spring Boot, Hibernate, JPA
Architecture: Microservices, Distributed Systems, REST APIs, System Design
Infra & Messaging: Redis, Kafka, Docker, Kubernetes, AWS, GCP
DevOps & Quality: Jenkins, SonarQube, CI/CD, JUnit, Mockito, Prometheus, Grafana
Pinned Projects: E-Commerce REST API, Blog API, Bus Reservation System, Virtual McDonald, To-Do App
I’m especially interested in building systems that are fast, observable, resilient, and easy to evolve.
Distributed Systems · System Design · Performance Engineering · Cloud-Native Architecture · Generative AI
