Backend and DevOps engineer building event-driven platforms, secure delivery pipelines, and AI-enabled operational systems.
이벤트 기반 백엔드, 재현 가능한 CI/CD, 관측 가능한 클라우드 운영 환경을 실제 동작하는 프로젝트로 구현하고 있습니다.
- Reliable backend services with Java, Spring Boot, Python, PostgreSQL, Redis, and Kafka
- Production-oriented delivery workflows with Docker, GitHub Actions, Terraform, Kubernetes, and AWS
- Real-time operational consoles with Next.js, TypeScript, SSE, maps, metrics, and distributed tracing
- Security-conscious systems with least-privilege access, provenance evidence, immutable artifacts, and recovery runbooks
| Project | What it demonstrates | Explore |
|---|---|---|
| LogiTrack | Event-driven logistics control tower with fleet tracking, warehouse workflows, ETA analytics, and audited recovery | Repository · Live demo |
| ReleasePilot | DevOps control plane for approval gates, progressive delivery, automated rollback, and tamper-evident release evidence | Repository |
| VisionFlow-Drone | Real-time drone telemetry and computer-vision pipeline spanning edge AI, backend services, and an operations dashboard | Repository |
- Frontend HTML Practice documents accessible, framework-free HTML and CSS foundations, with a live GitHub Pages demo.
Java · Spring Boot · Python · TypeScript · Next.js · PostgreSQL · Redis · Kafka · Docker · Kubernetes · Terraform · AWS · OpenTelemetry
- Make failures observable and recovery reproducible.
- Treat CI/CD, security boundaries, and operational evidence as product features.
- Prefer verified behavior and executable runbooks over undocumented assumptions.
- Build demos that can be explored, not just source code that can be read.
- Pick a scoped
good first issuein LogiTrack. - Join the LogiTrack Discussions for setup questions, architecture ideas, and demonstrations.
- Follow the contribution guide before opening a pull request. Thanks for visiting. Start with LogiTrack for the most recent end-to-end system.