TEE YU CHENG

Singapore, Singapore | teeyucheng.sg@gmail.com | 81279748 | linkedin.com/in/teeyucheng | ninguest.github.io/myportfolio
Summary

ASEAN Scholarship recipient and Computing Science graduate (GPA 4.05) from the Singapore Institute of Technology & University of Glasgow. Combines a strong foundation in Full Stack Development (Python, React, Electron.js) with a background in Embedded Systems. Proven ability to deliver complex technical solutions, ranging from GenAI-powered desktop applications to IoT agricultural systems.

Education
BSc. (Hons) Computing Science
Singapore Institute of Technology & University of Glasgow (Joint Programme)
Expected April 2026
  • Cumulative GPA: 4.05/5.00
  • Achievement: ASEAN Scholarship Recipient
Diploma in Electronics and Computer Engineering
Ngee Ann Polytechnic, Singapore
May 2021
  • GPA: 3.6511/4.00
  • Specialization: Network Systems & Security
  • Achievement: Placed on the Director's List for excellent academic performance for Level 2, April Semester, Academic Year 2019/2020
Experience
Intern, Software Engineer
MXHL PTE. LTD (uParcel), Singapore
Sep 2025 - April 2026
  • Maintained the core Python-based web application, performing critical system upgrades and resolving dependency compatibility issues.
  • Delivered a Final Year Industry Capstone Project on a GenAI-powered Delivery Service Assistant to automate support tasks and improve operational efficiency.
Intern, Software Programming
Frontier Force Technology Pte Ltd, Singapore
April 2021 - July 2021
  • Developed a cross-platform desktop application using Electron.js and JavaScript templates.
  • Built and optimized a mobile Android application using React Native framework.
  • Collaborated with the engineering team to translate functional requirements into deployable software features.
Intern in Charity Organization
Engineering Good, Singapore
September 2020 - March 2021
  • Developed a PC application, EGAppBox, to support the "Computer Against Covid" program by improving the efficiency of laptop repair workflows and device labeling processes.
  • Refurbished used laptops, including hardware setup, OS installation, and basic system configuration, to prepare devices for donation.
  • Provided technical IT support for troubleshooting hardware and software issues during refurbishment and deployment.
Skills
Programming Languages: Python, JavaScript, Java, C/C++, HTML, CSS, Kotlin, SQL, Bash/Shell, Markdown
Frameworks & Development: React, React Native, Node.js, Express.js, Next.js, Electron.js, Flask, Django, Java Spring Boot, RESTful APIs
Databases: MySQL, PostgreSQL, MongoDB, Redis
Development & DevOps Tools: Visual Studio Code, JetBrains IDEs, Cursor, Android Studio, Arduino IDE, Postman, Git, Docker, GitHub, GitLab
Embedded Systems & IoT: Arduino, ESP32, Raspberry Pi, Microcontrollers, IoT, MQTT, Bluetooth, Sensors, Networking Fundamentals
Systems & Platforms: Linux (Ubuntu, Kali, Raspbian), Windows OS, macOS, VMware, VirtualBox
AI & Automation: ChatGPT, GitHub Copilot, Claude, Midjourney
Languages: Chinese (Mandarin), English, Malay
Projects
SmartAdmin: GenAI Delivery Service Assistant
Industry Capstone Project - uParcel, Singapore
Sep 2025 - Present (Expected Apr 2026)
  • Built a full-stack Electron.js desktop application integrating LLMs for natural-language processing of customer requests in logistics operations
  • Designed and implemented RAG system (LanceDB) and validation layer (PostgreSQL) to convert unstructured messages into safe, executable action plans
  • Developed Playwright-powered RPA for browser-based workflow automation with HITL safeguards, audit trails, and monitoring to prevent errors in real operational systems
  • Focused on AI safety and reliability: incorporated pre-execution validation, rejection mechanisms, and logging for auditable deployment
Smart Agricultural System - IoT Solution for Small-Scale Farming
University Project - Low-Cost Agriculture Automation
Apr 2025
  • Developed comprehensive IoT system using Raspberry Pi 4 (NodeJS server) and multiple Pi Pico microcontrollers for environmental monitoring and automated crop management
  • Integrated 7+ sensors (soil moisture, air quality, temperature/humidity, spectrometer) with automated actuators (water pump, PWM fans, RGB LED lighting) for precision agriculture
  • Built web dashboard with real-time monitoring, remote control capabilities, and rules manager for automated scheduling and conditional automation
  • Technologies used: MicroPython, NodeJS, Bluetooth/MQTT communication, REST APIs, modular hardware design with security implementation

Additional projects including EGAPPBox, Navigating Nature, USI Community Fridges, and more can be found at ninguest.github.io/myportfolio

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