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wheelo/README.md

Hi, I am Xiaolong Peng

Full-Stack • Infra & LLMOps • Cross Platform

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About

I'm a software engineer based in Jiangsu, China (previously in Chengdu).
My main research interests focus on:

  • Full-stack engineering and cross-platform app development
  • LLM, LLMOps, AI Infra
  • AI Coding workflows & Developer Tools

I enjoy building developer-friendly tools, AI infrastructures, and scalable systems that actually solve problems.


Tech Stack & Skills

I program with Kotlin, TypeScript, Node.js, PHP, Python

Cross Platform

  • CMP, KMP, Huawei ArkTS(Currently)
  • Flutter, RN
  • VS Code & it's extension

Backend

  • Node.js, PHP
  • MySQL, PostgreSQL

AI Infra && OP

  • LLM, LLMOps, AI Infra, MLLMs, AI Coding agents
  • vLLM / FastAPI / Model serving and deployment
  • K8s / Docker / shell / nginx / serverless

partial works of mine

Here are some works I published during university:

Object Tracking Based on Particle Filter with Improved Camshift Journal of Applied Sciences, 2014 DOI: 10.3923/jas.2014.121.128

Object Tracking Based on Camshift with Multi-feature Fusion Journal of Software, 2014 DOI: 10.4304/jsw.9.1.147-153

Face Tracking Based on Particle Filter with Multi-feature Fusion TELKOMNIKA Indonesian Journal of Electrical Engineering, 2014 DOI: 10.11591/telkomnika.v12i1.3381

Online Feature Selection for Multi-instance Learning in Object Tracking Journal Article, 2015

Research on Mobile Robot Tracking Technology Based on Binocular Vision Master’s Thesis, 2016 (This was my college graduation thesis focusing on stereo vision–based robot tracking.)

Hobby

  • music: listen & sing classic, Punjabi, alternative, R&B, Jazz
  • photography: some Sony digitals
  • climbing mountains

Collaboration

Hire me! I'm open to remote work, collaboration, and AI development.

Email me anytime: dongmenwuhen@gmail.com and wheelo@163.com


feel free to star my projects or connect with me!

Popular repositories Loading

  1. ExampleBridge-Test ExampleBridge-Test Public

    @Kureev's `ExampleBridge` app tuned with iOS JSCore

    Objective-C 4

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    支持上万级数据量的tree组件(支持全选与半选)

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  3. fastapi-setup.sh fastapi-setup.sh Public

    集成uv和poetry快速启动fastapi的脚本

    Shell 1

  4. kof97_training kof97_training Public

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    用于训练任意kof97角色的强化学习模型的项目。目标是找出所有的97 bug与极限操作。

    Jupyter Notebook 1

  5. unbroken-doc unbroken-doc Public

    Forked from be-fe/unbroken-doc

    JavaScript

  6. wheelo.github.io wheelo.github.io Public

    The Description will be added later

    HTML