I build backend infrastructure where performance, reliability, and correctness matter.

My interests lie in distributed systems, concurrent programming, networking, high-performance C++, AI evaluation infrastructure, and scalable backend architecture. I enjoy designing systems that continue to behave predictably under load, whether they're processing financial market data, coordinating distributed workloads, or executing thousands of concurrent requests.

Most of my projects revolve around one question:

What happens when this system receives 100× more traffic?

That mindset naturally leads me toward better architecture, stronger observability, simpler designs, and measurable performance.

• AI Evaluation Infrastructure @ AirDawg Labs
• High-performance C++ market data systems
• Distributed benchmarking platform for large-scale code execution
• Backend systems using Go, Node.js and PostgreSQL
• Competitive Programming (Codeforces Expert)
• Backend & Systems Engineering interview preparation

A production-inspired market data ingestion system focused on throughput, latency, and reliability.

• 150k+ messages/sec sustained ingestion
• Boost.Asio asynchronous networking
• Lock-free producer-consumer pipeline
• Binary protocol serialization
• Memory-mapped replay engine
• Prometheus + Grafana observability
• Structured logging and metrics
• Sub-millisecond processing pipeline

Distributed execution platform for compiling, benchmarking, validating and evaluating competitive programming solutions.

• Microservice architecture
• Docker-based isolated execution
• Runtime prewarming
• Distributed task orchestration
• Queue-based scheduling
• Real-time telemetry
• Prometheus & Grafana monitoring
• REST APIs and WebSocket dashboard

Fault-tolerant payment processing platform designed around consistency and scalability.

• 10k+ requests/sec
• Saga-based transaction orchestration
• Idempotent payment processing
• Worker pool architecture
• Retry & recovery mechanisms
• Metrics, tracing and structured logging

QR-powered hospital management platform.

• JWT-based RBAC
• Optimistic locking
• Concurrency-safe appointment booking
• Multi-role backend architecture
• QR-linked patient records

Currently building tooling around

• AI agent evaluation
• Docker sandbox execution
• Reproducible benchmarking
• Adversarial testing
• Evaluation pipelines
• Infrastructure reliability

• Top 100 Contributor — GirlScript Summer of Code (2000+ participants)
• 12+ merged pull requests
• Backend feature development
• CI/CD improvements
• WebSocket enhancements
• Documentation contributions

🏆 1st Place — MapmyIndia Hackathon @ IIT Delhi

🏆 1st Place — BNB Chain Hackathon

🏅 Top 100 Contributor — GirlScript Summer of Code

⚔️ Codeforces Expert

🌍 40+ Open Source Contributions