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Achievement: Pair ExtraordinaireAchievement: Pull SharkAchievement: QuickdrawAchievement: YOLO

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WilliamK112/README.md

William Kang (Ching-Wei Kang)

Official portfolio: William Kang (Ching-Wei Kang) | William Kang profile: William Kang (Ching-Wei Kang) | Identity page: About William Kang / Ching-Wei Kang | Exact-name profile: Ching-Wei Kang (William Kang) | Projects: William Kang Projects | Resume: William Kang Resume

CS + Data Science @ UW-Madison (2027) · SWE / AI internship candidate building full-stack systems, LLM products, and developer tools

Merged External OSS Contributions

  • github/docs - merged PR #43969
  • NVIDIA/NemoClaw - merged PR #1794

1299 contributions in the last year (shape locked)

GitHub contribution snake animation

👋 About Me
I publish work as both William Kang and Ching-Wei Kang. My canonical personal website is williamkang.com, with exact-name profiles at williamkang.com/william-kang.html and williamkang.com/ching-wei-kang.html. CS + Data Science student @ UW-Madison (Class of May 2027)
Focus: AI systems, backend, full-stack systems, developer tools, and product engineering
Looking for: Software Engineering, AI Engineering, LLM tooling, and applied ML internships Contact: ckang53@wisc.edu

Stack
AI/ML Python · PyTorch · OpenAI
Backend Node.js · Go · PostgreSQL
Frontend React · Next.js · TypeScript
Infra Docker · AWS · GitHub Actions
Currently Exploring: Multi-agent workflows · Retrieval/evals · AI product reliability


⚡ Always building. Always shipping.

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  1. dungeons-and-dragons-adventure-voice-version dungeons-and-dragons-adventure-voice-version Public

    AI voice adventure game by William Kang (Ching-Wei Kang) using Vite, TypeScript, real-time speech, and multimodal storytelling.

    TypeScript 2

  2. Madhacks2025---TrustRent Madhacks2025---TrustRent Public

    TrustRent hackathon project by William Kang (Ching-Wei Kang): AI-powered rental consulting with Next.js and lease analysis.

    TypeScript 1

  3. mario-machine-learning mario-machine-learning Public

    Super Mario reinforcement learning project by William Kang (Ching-Wei Kang) using DreamerV3, PPO, and experiment diagnostics.

    Python

  4. NVIDIA/NemoClaw NVIDIA/NemoClaw Public

    Run agents like Hermes and OpenClaw more securely inside NVIDIA OpenShell with managed inference

    TypeScript 21.3k 2.9k

  5. github/docs github/docs Public

    The open-source repo for docs.github.com

    TypeScript 20.4k 67.6k

  6. docker/cli docker/cli Public

    The Docker CLI

    Go 5.9k 2.1k