Personal introduction
Interactive personal deck
A presentation version of my background, project work, and engineering focus. It is built for interview conversations, with a browser-based deck view and a downloadable PDF.
Cheng-Ting Chen
Backend-focused Software Engineer
I build reliable APIs, AI-agent workflows, and Kubernetes-based services. My recent work sits around backend reliability, observability, testing, and delivery automation.
LocationTaipei, Taiwan
FocusBackend systems, AI workflows, observability
StackTypeScript, Python, Go, Kubernetes
Interview deck
Experience
Backend Engineer
Tricuss - Taipei, Taiwan
- Built production LangGraph agent workflows by improving data pipeline reliability and ReAct tool-calling behavior.
- Containerized and deployed AI backend services across Kubernetes-based workloads using Docker and Helm.
- Implemented OTel tracing, metrics, and logs with Prometheus, Grafana, and Tempo for backend and AI observability.
Software Engineer
Cacdi - Taipei, Taiwan
- Restructured internal event-form workflows and backend behavior, reducing average configuration steps by 40%.
- Raised core business logic test coverage by 25% in three months using GenAI/LLM-assisted edge-case test generation.
- Partnered with frontend and product teams to refine API behavior, reduce workflow friction, and improve internal tool usability.
Selected projects
FurFriend-Finder
A Taiwan pet adoption and lost-pet matching platform. It combines shelter data, lost-pet reports, notifications, and LINE integration into one adoption workflow.Tic-Tac-Toe
A real-time Tic-Tac-Toe backend focused on WebSocket gameplay, matchmaking, reconnect behavior, and production-style observability.Homelab
A GitOps homelab running personal services, FinOps tooling, Kubernetes deployments, and observability on a single k3s VPS.Education
National Central University
GPA 3.5/4.3. Top 10 in the Department of Electrical Engineering analog circuit design competition.
National Taiwan University
Coursework included algorithms, machine learning, deep learning in computer vision, and generative AI.
Technologies
Languages
JavaScript, TypeScript, Python, Golang
Backend
Node.js, Express.js, Flask, PostgreSQL, MongoDB, Redis, REST APIs
Testing
Jest, Unit tests, Integration tests, E2E tests
Cloud and DevOps
Kubernetes, Docker, AWS, GitHub Actions, Helm, Argo CD
Observability
OpenTelemetry, Prometheus, Grafana, Tempo, Loki, Jaeger