I am a backend and infrastructure engineer specializing in Go, Linux systems, Kubernetes, and high-performance realtime networking. Most of my work revolves around low-allocation runtimes, telemetry ingestion pipelines, observability, and scalable backend infrastructure running on self-managed Linux environments.
Selected Projects
Cash.io
Agar.io-style multiplayer game infrastructure handling realtime player synchronization and room state fan-out. Used protobuf-go-lite generated schemas for low-overhead snapshot synchronization during large websocket broadcasts.
- Link
- playcash.io
- Stack
- Go, gorilla/websocket, Protocol Buffers, OpenTelemetry, Pyroscope, pprof
- Metrics
- 600k+ players; 500-1000 concurrent players per node; ~42ms p99 tick latency at 60 ticks/sec
Routenex
High-throughput fleet management and telemetry ingest platform. Built robust pipelines capable of processing continuous geo-coordinate streams into time-series instances with automated geofencing alerting.
- Link
- routenex.io
- Stack
- Go, k3s, TimescaleDB, PostgreSQL, Redis, WebSockets, GitHub Actions
- Metrics
- 3.5k+ concurrently online vehicles; millions of telemetry writes into TimescaleDB/PostgreSQL
App Deployment Operator
Kubernetes operator for declarative app deployment. It reconciles a custom `Deployment` CRD into Namespaces, ConfigMaps, Services, Deployments, and Ingresses, with variable substitution, scope targeting, and pruning of removed resources.
- Stack
- Go, controller-runtime, Kubernetes API machinery, CRDs, GitHub Actions, GHCR
- Scope
- Single-CRD deployment workflow with automated release assets and controller image publishing