Backend engineer passionate about scalable systems, distributed architecture, and production-grade code.

I love building:

• 🏗️ Scalable REST APIs & Microservices
• 🐳 Containerized applications with Docker
• ⚡ Async architectures and queue-based systems
• 🔐 Secure authentication & authorization layers
• 📊 High-performance databases & distributed systems

ASP.NET Core 8 • Angular 20 • PostgreSQL • Docker • Render + Vercel

A production-grade online judge supporting 5 programming languages with secure code execution in isolated Docker containers.

Key Achievements:

• ⚙️ Secure sandbox execution — Docker containers with 512MB RAM, 1.5vCPU, 128 PID limits; 5s runtime + 25s total timeout
• ⚡ Optimized throughput — 4 warm-container pools, docker exec routing, precompiled C++ headers eliminate 1-2s cold-start
• 📮 Non-blocking queue — Channel (1,000 concurrent) + singleton BackgroundService workers maintain sub-ms endpoint response time
• 🔐 Enterprise security — JWT authentication, OTP email verification, 3-tier rate limiting
• 🗄️ High-performance DB — 11-entity PostgreSQL schema, composite indexing for O(log n) leaderboard queries, server-side caching (1-hr TTL)

GitHub • Live Demo

Java • Spring Boot • PostgreSQL • Redis • Docker • Render + Vercel

Stateless, horizontally-scalable URL shortening service with consistent hashing, distributed sharding, and real-time analytics.

Key Achievements:

• 🎯 Distributed sharding — Consistent hashing algorithm distributes URLs across logical shards
• 📈 Optimized redistribution — Base62 encoding reduces key rebalancing from 75% to 29%
• ⚡ Cache-optimized — Redis hit/miss analytics, TTL-based caching, database query reduction
• 📊 Analytics dashboard — React frontend visualizing shard distribution, cache performance, redirect patterns
• 🚀 Production deployed — GitHub Actions CI/CD, automated testing, zero-downtime deploys

GitHub • Live Demo

Languages: Java • C++ • C# • Python • SQL • TypeScript
Backend: ASP.NET Core 8 • Spring Boot • Entity Framework Core
Frontend: Angular • React
Databases: PostgreSQL • SQL Server • MySQL • Redis
DevOps & Tools: Docker • Docker Compose • GitHub Actions • Git • Linux • Postman • Swagger

✅ Backend Architecture — REST APIs, microservices, stateless design
✅ Distributed Systems — Sharding, consistent hashing, eventual consistency
✅ Performance Optimization — Caching strategies, query optimization, async I/O
✅ Security — JWT authentication, RBAC, rate limiting, secure code execution
✅ DevOps & Deployment — Docker, CI/CD pipelines, cloud platforms
✅ Code Quality — Clean architecture, unit testing, design patterns