Backend Engineer specializing in distributed systems, real-time architectures, and cloud-native infrastructure. Focused on building fault-tolerant, high-performance systems that survive real-world production load. |
WebSockets Pub/Sub Systems Event Streaming Low-latency pipelines |
Fault Tolerance CAP Theorem Consistency Models Scalable Design |
Kubernetes Terraform CI/CD Pipelines Observability |
• Event-driven async architecture • Redis Pub/Sub for ultra-low latency • WebSocket lifecycle management • Auto-recovery for dropped sessions |
• Kubernetes microservices • Terraform infrastructure provisioning • Prometheus + Grafana monitoring • Multi-tenant isolation strategy |
→ Scaling real-time systems under heavy concurrency → Optimizing Redis messaging pipelines → Designing resilient backend architectures → Exploring distributed system patterns (Raft, CAP)
"Good code works. Great systems survive failure."

