TEE YU CHENG

Computing Science Fresh Graduate

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.

Work Experience

Software Engineer Intern
MXHL PTE. LTD (uParcel), Singapore
Sep 2025 – Apr 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.
Software Programming Intern
Frontier Force Technology Pte Ltd
Apr 2021 – Jul 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.
Charity Organization Intern
Engineering Good, Singapore
Sep 2020 – Mar 2021
  • Developed EGAppBox PC application to support "Computer Against Covid" program, improving laptop repair workflow efficiency.
  • Refurbished used laptops with hardware setup, OS installation, and system configuration for donation.
  • Provided technical IT support for troubleshooting hardware and software issues during refurbishment.

Key Projects

SmartAdmin: GenAI Delivery Service Assistant Sep 2025 - Present (Expected Apr 2026)
  • Built a full-stack desktop application integrating LLMs for natural-language processing of customer requests in logistics operations.
  • Designed RAG system (LanceDB) and validation layer to convert unstructured messages into safe, executable action plans.
  • Developed Playwright-powered RPA with HITL safeguards, audit trails, and monitoring for real operational systems.
Smart Agricultural System Apr 2025
  • Developed comprehensive IoT system using Raspberry Pi 4 and multiple Pi Pico microcontrollers for environmental monitoring and automated crop management.
  • Integrated 7+ sensors with automated actuators for precision agriculture, including soil moisture, air quality monitoring, and automated irrigation.
  • Built web dashboard with real-time monitoring, remote control capabilities, and rules manager for automated scheduling.
Additional projects including EGAPPBox, Navigating Nature, USI Community Fridges at ninguest.github.io/myportfolio