Backend • Distributed Systems • Concurrency • System Design

I design and build scalable backend systems in Go, with a strong focus on distributed systems, performance, and clean architecture.

I enjoy solving real-world engineering problems — from designing rate limiters and worker pools to building scalable microservices and distributed platforms.

• 🧠 Backend Engineer (5+ years)
• 🏗️ Design-first mindset (HLD + LLD)
• 🧵 Deep focus on Go concurrency patterns
• ☁️ Cloud-native systems (AWS)
• 📈 Performance, caching & scalability enthusiast
• 🔍 Strong interest in system internals

• Building scalable microservices in Go
• Practicing advanced concurrency patterns
• Designing distributed systems from scratch
• Preparing for senior backend/system design interviews
• Implementing production-grade architecture patterns

Languages:      Go, TypeScript, JavaScript
Backend:        Gin, REST APIs, Microservices Architecture
Database:       PostgreSQL, Redis
Cloud:          AWS (Lambda, EC2, S3, IAM)
DevOps:         Docker, Kubernetes, CI/CD
Observability:  Prometheus, Metrics, Logging
Concepts:       Rate Limiting, Caching, Worker Pools,
                Distributed Locks, Graceful Shutdown,
                Load Balancing, Circuit Breakers

• Prefer clarity over cleverness
• Optimize only after measuring
• Design systems that fail gracefully
• Keep components composable and observable
• Build for scale, but start simple

• Built in Go
• Designed for horizontal scaling
• Implemented rate limiting & caching
• Focused on performance & reliability

• Worker pools
• Fan-in / Fan-out
• Context cancellation
• Graceful shutdown handling

• Service-to-service communication
• API gateway pattern
• Redis caching layer
• AWS deployment ready

• GitHub: https://github.com/miank1
• LinkedIn: https://www.linkedin.com/in/toankitmishra/

$ build systems
$ measure performance
$ optimize bottlenecks
$ scale horizontally

“Build systems that scale. Build skills that compound.”