Skip to content
View nxank4's full-sized avatar
:shipit:
ai
:shipit:
ai
17 followers · 14 following

Achievements

Achievement: Pair Extraordinairex3Achievement: Pull Sharkx3Achievement: YOLOAchievement: Quickdraw

Achievements

Achievement: Pair Extraordinairex3Achievement: Pull Sharkx3Achievement: YOLOAchievement: Quickdraw

Highlights

  • Pro

Block or report nxank4

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
nxank4/README.md
Logo

👋 Hi, I'm An (aka nxank4)

AI Engineer | Data Scientist

LinkedIn

🐾 CodePawl

An open-source community building tools and resources. We create educational content, develop open-source libraries, and share practical insights to make advanced technical topics more accessible.

GitHub Website

⭐ GitHub Contribution

github-snake

📝 Latest Blog Posts

⏱️ Development Time

From: 20 April 2026 - To: 27 April 2026

Total Time: 2 hrs 11 mins

Markdown     1 hr                  ███████████▅▁▁▁▁▁▁▁▁▁▁▁▁▁   46.48 %
Python       30 mins               █████▆▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁   22.92 %
Other        14 mins               ██▇▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁   11.22 %
JavaScript   9 mins                █▆▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁   07.04 %

Pinned Loading

  1. codepawl/loclean codepawl/loclean Public

    An AI Data Cleaning Library

    Python 10 1

  2. codepawl/openpawl codepawl/openpawl Public

    Terminal AI coding with a team of agents, not just one.

    TypeScript 2

  3. nanoevolve nanoevolve Public

    nano evolve

    1

  4. codepawl/yeastbook codepawl/yeastbook Public

    Standalone. Polyglot. High-performance.

    TypeScript 1

  5. codepawl/turboquant-torch codepawl/turboquant-torch Public

    PyTorch implementation of TurboQuant. Near-optimal vector quantization for KV cache compression and vector search. 3-bit with zero accuracy loss.

    Python 10