▮ williams.dev
▸ ABOUT · 2026

Williams Liu

QA Engineer × AI Workflow Architect

Taipei · Taiwan

Williams Liu, based in Taipei.

10+ years of software testing discipline — from gaming (lead QA on MapleStory; later managing a 50-person QA team) through education, media, blockchain, and AI platforms. Black-box testing and requirements verification across web, app, and API are the foundation. I work from the user's vantage combined with spec logic — boundary conditions, exception flows, special-scenario simulations to surface latent risk.

Current focus: bringing QA rigor into the design and polishing of AI agents.

I've hand-built a dual-layer QA Orchestrator architecture: each layer holds its own test memory and workflow playbook, with ironclad governance — release-gate confirmation, self-learning from defects, sensitive-data exclusion from version control, Prod-environment guardrails — all Git-versioned and reproducible. With AI cowork I've wired the full test loop: from Jira ticket analysis, to test plan and case authoring, mixed manual + automated execution (Playwright / Midscene), writeback to cases and tickets, and final test report generation.

Tooling: TCM on Jira / MeterSphere / Qase; automation on pytest / Playwright + Cursor; security cases via OWASP (authz, SQLi, XSS); push notifications through Slack incoming webhook (QA Weekly Bot). I've also led a 50-person rotating-shift QA team — staffing interviews, KPI design, cross-team coordination, on-site vendor exchange in the Philippines.

I look for flat, agile, goal-oriented teams that value real output and a collaborative spirit.

Interests

long-form writingdesign systemsbrutalist visual culturetechwear aestheticagent workflowsclaude codeapple silicon · MLXQA folklore

Skills

Testing / QA

  • Manual testing (black-box, boundary, negative, weak-network, regression, smoke)
  • API testing (Python + pytest)
  • E2E automation (Playwright / Midscene)
  • OWASP security cases (authz / SQLi / XSS)
  • ISTQB methodology
  • Test plan & case authoring
  • Defect localization & tracking

AI Cowork

  • Claude Code · Cursor · Copilot
  • Dual-layer QA Orchestrator design
  • AI-wired test loop: Jira → cases → exec → writeback → report
  • Prompt design & eval mindset

TCM / Bug Tracking

  • Jira · MeterSphere · Testrail · Qase
  • Mantis · Bugzilla · Notion · Lark

Tools / Stack

  • Postman · Hoppscotch
  • Stream · Fiddler · Charles (mobile traffic)
  • Chrome DevTools (console / network / ws)
  • GitHub · GitLab · Jenkins · Docker · Linux
  • Zeabur · Cloudflare · GCP
  • Figma · Miro · SwaggerHub · Axshare

Collab / Comms

  • Slack · Lark · HackMD · Notion · Google Drive
  • Cross-team coordination / 50-person rotating-shift team leadership

Languages

  • Chinese / 中文 Native
  • English / 英文 Conversational
  • Taiwanese / 台語 Intermediate

Contact

Open to conversations on QA, AI workflow, design systems, and how to ship the boring fix.