Software Engineer · Full-Stack · Cloud · AI-native development

I'm a Taiwan-based software engineer focused on cloud systems, developer tools, and practical AI-assisted engineering workflows. At Trend Micro, I work across full-stack product surfaces, AWS infrastructure, and enterprise cloud-security systems. Outside work, I build local-first AI and developer tools in Rust, TypeScript, Tauri, SvelteKit, and React.

My current focus:

• Shipping full-stack and cloud features across multi-region AWS systems.
• Turning repeatable engineering workflows into Claude Code / Codex skills.
• Building open-source tools for AI coding operations, desktop workflows, and native document tooling.

• c9watch - desktop and CLI dashboard for monitoring Claude Code sessions. It discovers running agents, surfaces blocked sessions, and lets agents coordinate through the same session state. 105 stars / 30 forks. Rust Tauri SvelteKit
• Canto - local-first desktop AI workspace with recursive agent loops, provider abstraction, approval gates, and on-device conversation history. TypeScript React 19 Tauri 2 Rust
• rmdv - native Rust markdown viewer with Mermaid, Graphviz DOT, LaTeX, and mind-map support. Rust Iced LaTeX
• iced_math - native LaTeX math widget for Iced 0.14. Rust Iced
• Shopulse - research-driven e-commerce prototype comparing conversational, graphical, and hybrid shopping flows. JavaScript LLM CUI e-commerce

• Cloud and backend: AWS Lambda, DynamoDB, Cognito, Route53, EventBridge, SQS/SNS, EC2, S3, EKS, Docker, REST APIs, OAuth2/JWT.
• Frontend and desktop: TypeScript, JavaScript, React, Vue, Svelte, Tauri, Vite, Tailwind CSS.
• AI and developer tooling: Claude Code, Codex, MCP, LLM API integration, spec-driven agentic development.
• Systems and operations: Rust side projects, Kubernetes, Terraform, Helm, Prometheus, Grafana, EFK, GitHub Actions.

At Trend Micro, I work as a Software Engineer on enterprise cloud-security products. Recent work includes:

• Sequencing a new AWS region rollout across 10+ interdependent microservices and codifying the process into reusable AI-assisted deployment skills.
• Building a safe-to-retry GDPR user-deletion pipeline with Go Lambda, DynamoDB streams, scheduled cleanup, and production staging.
• Extending alert delivery with a Gmail path, including backend report generation, authenticated send, retry handling, and admin frontend integration.
• Shipping customer-driven product demos and production features in inherited PHP, Python, C++, JavaScript, and Go codebases.

• Website: mclee.dev
• Resume: Vincent_Lee_Resume.pdf
• GitHub: @minchenlee
• LinkedIn: Vincent M.C. Lee
• Email: leeminchen.vincent@gmail.com