Full-stack engineer with a strong backend focus — I enjoy building systems that hold up under pressure. My day-to-day revolves around Java, Spring Boot, Kafka, AWS, and Node.js, and I find real satisfaction in diagnosing tricky production issues.

I'm also a competitive programmer at heart. All India Rank 6 on CodeChef, Global Rank 51 in LeetCode Weekly Contests, and 336 hard problems solved. I like thinking through problems from first principles — invariants, edge cases, and complexity — before writing a single line.

Currently at Compro Technologies, where I work on distributed systems, have helped cut query latencies from ~800ms to under 20ms, and enjoy mentoring newer engineers. I'm now looking for high-impact roles where I can contribute to systems built for scale.

Long Challenge

Weekly Contest 472

336 Hard Problems

Rating 1724+

Software Engineer · New Delhi · Jul 2023 – Present

Distributed Systems & Data Migration

• Engineered a resumable distributed pipeline to migrate 10M+ S3 objects across storage tiers. Redesigned DynamoDB access patterns using GSIs with composite sort keys, reducing average lookup latency from ~800ms to under 20ms and cutting per-query read cost by ~40%. Implemented checkpointing for idempotent re-runs without data duplication.
• Architected a Kafka-based event streaming pipeline with dedicated topics per metadata type and manually committed offsets for at-least-once delivery. Decoupled 4 tightly coupled downstream services, improving data freshness by 30%.

Auth, APIs & Backend

• Designed JWT RS256 authentication and RBAC spanning 6+ microservices — MySQL for role storage, Redis cache for sub-10ms permission lookups. Passed a third-party security compliance audit with zero critical findings on first submission.
• Built REST APIs and transactional backend workflows for a subscription-style assignment system with idempotent state transitions and audit logging. Feature adoption grew 20% within two quarters.

CI/CD & Quality

• Replaced AWS CodePipeline with a fully automated GitHub Actions pipeline using Docker, ECS/ECR rolling deployments, and S3 artifact caching. Cut hotfix deployment time from ~4 hours to under 60 minutes and eliminated all manual deployment steps.
• Grew automated test coverage from under 30% to 87% across unit and E2E layers (JUnit 5, Mockito, Jest). Established a CI coverage threshold gate, directly reducing production bug reports by 40% over two release cycles.

⚡ Distributed Rate Limiter

• Engineered a production-grade rate limiting service supporting Token Bucket and Sliding Window algorithms, dynamically switchable via configuration.
• Eliminated race conditions using atomic Redis Lua scripts, achieving throughput of 12,000 req/sec with sub-5ms p99 latency.
• Designed a declarative rate limiting layer via Spring AOP (@RateLimit), enabling seamless integration across services.
• Implemented resilience using Resilience4j circuit breaker with Caffeine-based fallback caching to maintain availability under failures.
• Containerized and deployed with Docker and Kubernetes, ensuring scalability and production readiness.

🔔 Notification Engine

• Built a high-throughput notification system processing **50,000+ notifications/hour** across Email, SMS, and Push channels using **Kafka-based fanout architecture**.
• Designed **priority-tiered Kafka topics** to ensure differentiated delivery guarantees and optimized processing under load.
• Eliminated duplicate deliveries via **Redis-backed idempotency layer**, ensuring exactly-once processing semantics at scale.
• Modeled a robust **delivery state machine (QUEUED → DISPATCHED → DELIVERED/FAILED)** with persistent tracking in MySQL and **sub-50ms read latency via Redis caching**.
• Implemented **fault-tolerant retry mechanisms** using exponential backoff and **Dead Letter Queues (DLQ)** for failed events.
• Decoupled notification producers and consumers, improving system scalability and enabling independent service evolution.

• 🔨 Building: Backend systems designed for scale — rate limiting, notification pipelines, event-driven architectures
• 📚 Studying: System Design (Alex Xu Vol. 1) + Advanced DSA
• 🎯 Targeting: High-impact backend roles at top product companies
• 🧠 Exploring: Machine Learning fundamentals with a fintech lens

B.Tech in Computer Science & Engineering · CGPA: 9.2 JK Institute of Applied Physics & Technology · 2019 – 2023