➜ ~ cat about.md
Ying Xiang Zhao

Ying Xiang Zhao 趙映翔

DevOps Engineer·Taipei, Taiwan

DevOps & Backend Engineer with 4+ years across GCP / AWS infrastructure, Kubernetes, Terraform IaC, large-scale data pipelines, ML / LLM model serving and AI agent infrastructure. Currently at GliaCloud running 10 GKE clusters and 200+ serverless services.

● open to work
DevOps Engineer / Platform Engineer / Site Reliability Engineer / AI Infrastructure Engineer
Taipei, Taiwan / Remote

experience

DevOps & Backend Engineer @ 集雅科技 GliaCloud

2023-02 – present
Infrastructure
  • 主導 IaC 實踐,採用 Terraform (Terramate) 維護公司所有雲端基礎建設,並以 AI Agent 加速審核與建置流程,大幅節省人力成本
  • 建構大規模用戶資料收集系統,每月處理 3,000 億次請求,涵蓋 Load Balancer、GKE、Cloud Logging、Cloud Storage、BigQuery 完整資料處理 pipeline
  • 管理 10 個 GKE cluster、200+ 個 serverless service,確保系統高可用與穩定性
AI Agent Infrastructure
  • 主導 mikan agent 導入,降低使用門檻,輔助公司運維及管理、系統偵錯自動化、產品進度管理與即時資料查詢
SaaS Operations
  • 管理 SaaS 專案完整雲端架構:Cloud Run、Cloud SQL、Memorystore for Redis、API Gateway
  • 優化對外 API 安全機制,強化身份驗證與存取控管
Performance
  • 定位 DB slow query 根因,將隨資料量線性增長的 API 回應時間從數分鐘壓縮至 3 秒內
  • 針對高併發場景重構 ML 任務批次寫入機制,提升系統吞吐量數倍
ML Model Deployment
  • 部署並維運多套 LLM 推論服務(自行 fine-tune 語言模型、開源 video / image 生成模型),依服務世代採 PyTorch Serve / NVIDIA Triton / BentoML 三套維運策略,並維護 HuggingFace、Replicate 上的實驗性部署流程
  • 在 Azure NVIDIA A10 GPU VM 上建置並維運 NVIDIA Omniverse 基礎設施,支援 3D 場景生成與 AI 視覺內容研究

Backend & DevOps Engineer @ 鈊象電子 IGS

2022-03 – 2023-02
  • 負責遊戲營運後台 API 開發與系統整合,建構模組化工具框架支援業務資料管理
  • 運用 AWS EC2、Amazon MSK、AWS Lambda、Amazon Bedrock 建構雲端服務與資料流處理架構
  • 設計並維護 Jenkins CI/CD pipeline,提升部署效率與穩定性
  • 與台灣科技大學(NTUST)產學合作,設計遊戲日誌即時資料處理框架

Frontend Intern @ 博錸生技

2018-08 – 2018-10
  • 執行官網全站 RWD 改版(ASP.NET),提升頁面載入速度與行動裝置體驗

projects

  • mikan ↗open sourceTypeScript · Docker · Kubernetes · Helm · Kata Containers

    Self-hosted AI coding agent for organizations: every Slack channel and DM gets its own sandboxed workspace, credentials and memory; also speaks Telegram, Discord and GitHub.

  • tiny-agent ↗open sourceTypeScript · Go · Python · Rust

    Minimal AI coding agents implemented side by side in TypeScript, Go, Python and Rust, with a Traditional Chinese book explaining how coding agents work.

  • SentriPay ↗

    Travel expense splitter I run: multi-currency conversion, no app to install, and a shareable link that keeps everyone's trip ledger in sync.

  • Studio ↗

    Browser-based video editor built on WebCodecs.

→ open source details

skills

DevOps / Cloud
GCP · AWS · Cloudflare · Terraform / CDKTF · Kubernetes · Docker · Cloud Build · GitHub Actions · ELK Stack · SonarQube · Linux · Git
Backend
Python · Express · Bash · MongoDB · PostgreSQL · MySQL · Redis · RabbitMQ · Kafka · Spark
ML / AI
PyTorch Serve · NVIDIA Triton · BentoML · HuggingFace · Replicate · AI agents
Frontend
Vue · React · Astro

education

  • 國立政治大學 National Chengchi University — Master's, Library & Information Science2019 – 2021
  • 國立臺北科技大學 National Taipei University of Technology — Bachelor's, Computer Science2014 – 2018

misc#

I’m a DevOps Engineer who loves diving into diverse domains — from full stack web development to ML model deployment, all the way to creating mind-blowing videos with diffusion models. Always chasing that next cool tech to play with.

Buy GPT Image 2

tokens --activity
Tokens Stats