# About — Williams Liu

> A QA who learned to ship.

- **Role**: QA Engineer × AI Workflow Architect
- **Location**: Taipei · Taiwan
- **QA experience**: 10+ years

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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 writing
- design systems
- brutalist visual culture
- techwear aesthetic
- agent workflows
- claude code
- apple silicon · MLX
- QA 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

- **Email** (primary): [hello@example.com](mailto:hello@example.com)
- **GitHub**: [@twilliamsliu](https://github.com/twilliamsliu)
- **LinkedIn**: [twilliamsliu](https://www.linkedin.com/in/twilliamsliu/)
- **Threads**: [@twilliamsliu](https://www.threads.com/@twilliamsliu)
- **Instagram**: [@twilliamsliu](https://www.instagram.com/twilliamsliu/)

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