Available for Job/Internship Opportunities

Hi, I'm Raymond

Computer Engineering student passionate about Artificial Intelligence, IoT, and Full-Stack Software Development.

Year 4 Computer Engineering Student at HKUST (Graduating June 2026)

Incoming MSc in Information Technology at HKUST (Sep 2026)

Technical Skills

Languages

Python C/C++ JavaScript / Node.js HTML / CSS Java

Cantonese 4.5/5 English 4/5 Mandarin 4.5/5

AI & Machine Learning

PyTorch NumPy & Scikit-learn Deep Learning (CNN, RNN) Computer Vision GAN & Transformers Reinforcement Learning

Backend & Systems

MySQL Express.js & Socket.io Linux Object-Oriented Design

Tools & Hardware

Git STM32/ESP32 MIPS Architecture Hardware Communication Protocols (I2C, ADC) Docker

Work Experience

Intelli Global Corporation

Intern | Kwun Tong, Hong Kong

Jun 2025 - May 2026

Full-time: Jun-Aug & Jan | Part-time: Other months

  • Data Integrity & Automation: Engineered data processing scripts using Python (NumPy) to transform, clean, and validate large-scale datasets and raw CSV files, ensuring seamless integration into the project database.
  • Quality Assurance: Systematically identified, reported, and verified bug fixes, collaborating closely with developers to maintain software reliability. Conducted rigorous regression testing cycles to ensure system stability following new feature deployments.
  • Documentation Lifecycle Management: Managed and updated system specifications and user guides, performing cross-functional audits to ensure documentation aligned with the latest software releases.
  • Technical Content Optimization: Standardized and formatted technical manuals, adding critical content updates to improve clarity and reduce user support queries.
  • Strategic Collaboration: Partnered with Project Managers to provide UI/UX improvement suggestions, directly influencing the product roadmap for smart residential solutions.
  • Domain Expertise (BIM): Utilized Revit for model modifications, bridging the gap between software QA and physical smart-building architectural requirements.
  • System Deployment & Orchestration: Successfully deployed and configured openMAINT using Docker containers on Windows, streamlining the asset management workflow for smart building data.

Featured Projects

MTR Tracker Lite

Built a streamlined React Native mobile app for real-time Hong Kong MTR tracking. Integrated GPS location services, MTR train APIs, and HKO weather data to deliver a fast, ad-free experience optimized for accessibility.

React Native Expo REST APIs Geolocation

Muse Dash Web Game

Built a real-time backend server framework with bidirectional event-based communication. Implemented secure user authentication and password hashing.

Node.js Express Socket.io Bcrypt

Library Management System

Designed comprehensive software architecture for a Library Management system. Developed robust use-case specifications for user roles, book publishing pipelines, access control, and status tracking dashboards.

OOP UML Java

AI Mini-AutoPilot

Developed an autonomous driving/navigation model and various advanced neural networks. Explored Image Captioning with LSTMs, GANs, and Self-Supervised Learning models.

Python PyTorch CNN/RNN Computer Vision

Fruit Ripeness Classification

Trained a transfer learning model using EfficientNet-B0 to accurately classify the ripeness stages of three different types of fruits. Used YOLO to draw bounding boxes and passed these image segments as input to the model, achieving a test accuracy of 93%.

Python Computer Vision Transfer Learning EfficientNet

Tiny Smart Home

Developed a smart home system using Home Assistant and multiple ESP32 boards connected to DHT11, MQ2, and UV sensors, etc. Visualized sensor data on a Home Assistant dashboard and built a physical house model with accurately placed sensors for demonstration purposes. Designed and implemented automation scripts to automate the home's behavior based on sensor data.

ESP32 Home Assistant IoT Ollama AI

Education & Coursework

Hong Kong University of Science and Technology (HKUST)

MSc in Information Technology | Incoming, Sep 2026

BEng in Computer Engineering| Second Class Upper Honors | Sep 2022 - Jun 2026

Advanced Coursework

AI & Vision
  • Deep Learning in Computer Vision (COMP 4471)
  • Practical Machine Learning (EMIA 4110)
  • Fundamentals of Artificial Intelligence (COMP 3211)
  • Exploring Artificial Intelligence (COMP 2211)
Systems & Networks
  • Operating Systems (COMP 3511)
  • Computer Communication Networks (ELEC 3120)
  • Introduction to Embedded Systems (ELEC 3300)
Software Engineering
  • Software Engineering (COMP 3111)
  • Mobile Application Development (COMP 4521)
  • Internet Computing (COMP 4021)
  • Object-Oriented Programming and Data Structures (COMP 2012)
  • Programming with C++ (COMP 2011)
  • Introduction to Computer Science (COMP 1021)
Architecture & Multimedia
  • Design and Analysis of Computer Architectures (COMP 4611)
  • Multimedia Computing (COMP 4431)
  • Computer Organization (COMP 2611)