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Jen-Hung Chang
Mid-level Software Engineer specializing in cloud infrastructure and distributed systems
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About
Backend/platform engineer who built an AI RAG system on FastAPI/Postgres/AWS with 10+ microservices, vector search optimization (ANN + two-stage re-ranking), and GitOps-driven CI/CD that cut deploy time from hours to minutes. Also deployed Java identity services on Kubernetes at TSMC for 200K+ users using ArgoCD/Azure Pipelines, and built a reliable real-time IoT pipeline (MQTT/Node/MongoDB) with strong consistency controls.
Experience
Education
Key Strengths
- Owned and built 10+ FastAPI microservices for an AI RAG platform (ingestion, vector search, LLM integration)
- Performance optimization of vector retrieval via ANN indexing plus two-stage retrieval/re-ranking to balance latency and accuracy
- Built CI/CD with GitHub Actions and Docker; reduced deployment time from hours to minutes
- Deployed containerized services to AWS (Lambda, ECR) and implemented token-based authentication
- Kubernetes production deployment experience for Java identity microservices supporting 200K+ users
- GitOps implementation with config/manifests in Git and tag-based multi-environment deployments
- Resolved Kubernetes rollout failures by adding automated pre-rollout health/config checks
- Built real-time IoT streaming pipeline (MQTT -> Node.js -> MongoDB on AWS) with reliability mechanisms (QoS, idempotency, transactions, checksums)
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