SDE-2 at Atlassian with prior experience at Dream11 and Lendingkart, focused on building high-scale, low-latency distributed systems. I’ve worked extensively on backend systems handling millions of users and high-throughput workloads, including scaling a product from 0 → 1.5M+ users, designing APIs with 2–200 ms latency, and building event-driven architectures using Kafka, DynamoDB Streams, SQS, and async processing pipelines. My core work revolves around: • Designing scalable microservices (Java, Spring Boot, Vert.x) • Event-driven systems (Kafka, stream processing, idempotent consumers) • Data layer optimization (MySQL, Aerospike, Redis, caching strategies) • Concurrency control (distributed locking, idempotency, consistency trade-offs) • High-performance API design (low latency, high QPS systems) • Production-grade system design (fault tolerance, horizontal scaling, resilience) I’ve built and owned systems like: • Contest lifecycle systems handling 8L+ daily workloads • Real-time orchestration flows with 50–200 ms end-to-end latency • Distributed workflows replacing synchronous REST with async pipelines • Internal platforms improving engineering velocity and system reliability If you’re preparing for backend/system design interviews or want to deeply understand how real-world distributed systems are designed (beyond textbook answers), I focus on practical trade-offs, scalability patterns, and production insights.