B.Sc Computer Science Student | Backend & Distributed Systems Engineer | India 🇮🇳

I design and engineer scalable backend architectures, high-throughput distributed systems, and search infrastructure.
Passionate about asynchronous messaging, database internals, transactional resilience, and concurrent systems.

Highlights demonstrating backend, search systems, performance tuning, and distributed architectures:

• ⚡ Scaled Event Booking to 1,013 req/s: Tuned concurrency with 33 asynchronous workers, achieving a 394% throughput boost and reducing p95 latency from 3,100ms down to 44ms.
• 🔍 First-Principles Search Engine & Crawler: Built an asynchronous multi-worker BFS crawler with polite robots.txt rate-limiting, SQLite FTS5 inverted indexing, and Okapi BM25 relevance scoring serving instant paginated results.
• 🔄 Transactional Kafka Outbox Pattern: Implemented resilient event publishing with PostgreSQL outbox table + Redis caching + spillover handling for 1,000+ queue overflows.
• 🛡️ Zero Booking Race Failures: Handled 46,576 concurrent seat-grab transactions in rigorous stress testing with 0 race condition anomalies.
• 🚀 Non-Blocking Concurrency: Offloaded CPU-intensive bcrypt hashing to thread executors (run_in_executor), eliminating Python event loop starvation.

• 🔭 Distributed Tracing Demo: Instrumenting Kafka microservices with OpenTelemetry + Jaeger for end-to-end distributed transaction tracing.
• ⚡ Webhook Relay Engine: Building an ultra-resilient webhook ingestion gateway with automated retry backoffs and signature verification.
• 📚 System Design Blueprint: Curating production-ready patterns for rate limiting algorithms, raft consensus, distributed caching, and database sharding.