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Li Yanpei (Lucian)

Li Yanpei , 李彦霈, Self-Taught Full-Stack Software Engineer

Exploring Innovative Solutions in Artificial Intelligence
  • Ma Liu Shui, Hong Kong SAR, China
  • Mandarin · English · Cantonese
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Li Yanpei (Lucian)
currently studyingThe Chinese University of Hong KongMSc in Artificial Intelligence for Science

Affiliations

Open Source

10

Public repos

3,156

Contributions (last year)

10

Languages

3,156 contributions in the last year

3,156 contributions between Nov 2, 2025 and Nov 6, 2026. Active on 80 of 370 days. Busiest day: Jul 1, 2026, with 183 contributions. Busiest month: July 2026, with 1,235 contributions. Longest streak: 22 days in a row.

Languages

  • TypeScript43.5%
  • Python35.2%
  • Swift16.0%
  • JavaScript3.4%
  • CSS0.8%
  • Other1.1%

Repositories

Skills

Core skills
  • Python, Proficient
  • TypeScript, Proficient
  • C++, Intermediate
  • Java, Familiar
  • ReactExperienced in React-based frontend and full-stack development.
  • Next.jsExperienced in Next.js full-stack application development.
  • Node.jsExperienced in backend development.
  • MongoDBExperienced in NoSQL database design and implementation.
  • HTML5/CSS3Experienced in responsive frontend development.
Frameworks & Libraries
  • React
  • Next.js
Backend & Databases
  • Node.js
  • MongoDB (NoSQL)
Tools & Platforms
  • Git
  • Docker
  • NGINX
  • Cloudflare
Systems & Infrastructure
  • Ubuntu Server/Desktop
  • SSH
  • Shell Scripting
Networking & APIs
  • RESTful APIs
  • Authentication including Basic and JWT/Bearer
  • OpenAPI/Swagger
  • HTTP Headers Management

Recent Activity

  1. Pushed tohiko-server/portfolio-studio (opens GitHub in a new tab)

Selected Projects

6 projects · scroll →

  • Sep 2025 – Jun 2026Case study

    Smart Waste Classification System (SWCS) — Final Year Project — read case study

    Designed and built an offline edge-AI waste sorting prototype integrating computer vision, embedded inference and electromechanical control, connecting object sensing and classification with physical sorting.

    • Developed a two-stage vision pipeline combining YOLOv8 object localisation and MobileNetV3-Large material classification; deployed inference on NVIDIA Jetson Orin Nano using ONNX Runtime with TensorRT/CUDA support.
    • Edge AI
    • Computer Vision
    • Jetson
    • YOLO
    • Robotics
    Hong Kong
  • Oct 2024 – Mar 2026

    WeGreen AI (wegreen.ltd)

    Focused on enhancing waste management efficiency by minimizing classification time. Planned to be finished in 2026.

    • Developed an advanced deep learning model using TensorFlow and PyTorch to optimize waste classification efficiency.
    • Integrated machine vision recognition technology to enhance classification accuracy and operational speed.
    • Utilized IoT technology to enable real-time data transmission and intelligent control of devices.
    Hong Kong
  • Jan 2023 – Jan 2026

    Personal Portfolio & CV Management System

    Developed a high-performance, secure, and fully customizable personal landing page and CV builder.

    • Engineered a full-stack web application using Next.js 13 and TypeScript, featuring a responsive design with Chakra UI and Material UI.
    • Developed a secure Admin Dashboard with comprehensive content management capabilities.
    • Designed a scalable backend architecture using MongoDB and Docker for data persistence and deployment.
    • Integrated third-party APIs to provide real-time data visualization and enhanced functionality.
    Hong Kong
  • Mar 2023 – Nov 2023

    Project RAKU: AI Assistant Job Search System

    Created an AI-powered job search chatbot integrating OpenAI's API for natural language queries.

    • Engineered web scraping tools to extract and consolidate job data from major Hong Kong employment platforms.
    • Developed backend services with Python FastAPI and structured the database using MongoDB.
    Hong Kong
  • Nov 2022 – Nov 2023

    Project GAIA: Design Data Structure

    Focused on designing an optimized NoSQL data structure for storing and retrieving non-structural geostatic data.

    • Designed an optimized MongoDB schema for storing and retrieving non-structural geostatic data.
    • Applied hashing techniques for data comparison and historical version management.
    • Reformatted and restructured raw dictionary and JSON data using Python for improved data handling efficiency.
    Hong Kong
  • Aug 2023 – Oct 2023

    Project EASILY-CV: CV Generator

    Developed an online CV generator as an open-source project, employing MongoDB Atlas for data storage, Next.js as the full-stack framework, and Docker on Linode for hosting.

    • Developed a full-stack Next.js app with MongoDB Atlas, deployed via Docker on Linode.
    • Enabled real-time CV updates with advanced React state management and added PDF export via CSS print and Playwright.
    Hong Kong
  • All case studies

Selected Publications

  • Forecasting the payoff of another view in a finite inspection queue: recorded data and analysis code

    Yanpei LI

All publications

Writing & case studies

All writing All case studies

Experience

  1. Nov 2024 – Mar 2026

    CTO & Co-Founder, WeGreen AI

    Hong Kong

    Led a startup to drive innovation in waste management with AI-powered solutions, making recycling processes smarter, faster, and more efficient for a sustainable future.

    • Developed AI-powered smart bin technology to optimize waste sorting and recycling efficiency.
    • Secured HK$30,000 funding from HKBU and HKSTP for product development and growth.
    • Led product innovation and fostered a collaborative, high-performance team culture.
    • Won YDC Best Potential Startup and Innovation Award, recognized among top tertiary teams in Hong Kong.
    • Product Development
    • AI
    • Machine Learning
    • Waste Classification
    • IoT
    • Team Leadership

  2. Oct 2025

    Engineering Intern, Honsenn Eco Technology GmbH

    Germany

    Completed an on-site internship supporting product R&D and test/QA activities, collaborating effectively within a cross-cultural engineering team.

    • Participated in on-site learning and hands-on engineering practice.
    • Supported product R&D and assembly activities.
    • Conducted headphone ANC and Bluetooth testing and debugging; leveraged an existing Python-based automated testing script to improve QA repeatability and efficiency.
    • Assisted with outbound and shipping procedures and related documentation to improve test consistency and traceability.
    • Python
    • Test Automation
    • Quality Assurance
    • Bluetooth Testing
    • ANC Testing
    • Debugging
    • Documentation
    • Product R&D Support
    • Assembly
    • Shipping Procedures
    • Cross-cultural Collaboration

  3. Jul 2024 – Sep 2024

    Tech Researcher, Dongguan Honsenn Electronic Technology Co., Ltd.

    Dongguan

    Contributed to the development of microcontroller functionalities and provided robust support for product development initiatives.

    • Product Development
    • Microcontrollers
    • Technical Product Development

  4. Aug 2023 – Sep 2024

    Web Development Intern, GoSmart Everywhere Limited

    Hong Kong

    Collaborated closely with senior engineers to contribute to key projects, enhancing advanced software engineering skills in a production environment.

    • Strengthened proficiency in TypeScript, React.js, and Python through hands-on development and iterative feature implementation.
    • Gained practical experience in full-stack web development and scalable web application design, supporting the development of robust and maintainable systems.
    • TypeScript
    • React.js
    • Python
    • Full-stack Web Development
    • Scalable Web Application Design
    • Software Engineering

Certifications

NVIDIA

Cisco

Field Notes

Get In Touch

Questions, roles or collaborations: send a note.

Write to me 

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