Welcome to my GitHub 😀! I’m a machine learning developer passionate about building real-time, intelligent systems that bridge perception and action, from sign language interpreters to gameplay analytics agents.

🎓 Currently wrapping up my Master of Artificial Intelligence at UTS (🏅 Dean’s List 2024 & 2025), with a background in Electronics & Computer Engineering from HKUST.

🧠 By day, I’ve worked across cloud architecture and AI research — and by night, I break models (intentionally).

Discover more about me:
💼 Portfolio: jasonwcf-projects
🔗 LinkedIn: jasonwcf

AI Gameplay Context Agent for First-Person Shooter
Associated with ASTRID Research Team, University of Technology Sydney

• Visual extraction pipeline combining OCR and YOLO to reconstruct missing features from raw game footage and logs.
• Data analytic framework to perform data cleaning on features extracted from visual gameplay footage and raw logs
• AI agent that analyzes player behavior by combining enriched game log data with prompt-engineered LLMs to enable deeper gameplay insights

Skills:

• Data extraction an analytics: OpenCV, Pandas, Regex Expression, Image Processing, Data Aggregation
• Computer Vision: Yolo, OCR, Optical Flow, OpenCV
• Natural Language Processing: LLM, Chroma, RAG, Ollama, LangChain
• Visuaization: Streamlit

🔗 GitHub Repo

SignSync - Real Time Video Conferencing Sign Language Translation
Associated with University of Technology Sydney

SignSync is a real-time sign language translation system integrated into the Jitsi video conferencing platform, acieving translation under 500ms latency. This project is also selected for 2025 UTS AI showcase.

• Sign Language Translation model using Artificial Neural Network & Mediapipe feature extractor
• Custom Jitsi interface for enabling real time sign language translation
• Model inferencing and processing fully on browser side to optimize performance and minimize latency

Skills

• Machine Learning: Mediapipe, Neural Network, Pytorch
• Web Development: React, TypeScript, NodeJS
• Application refactoring: Python processing and inferencing code refactored to JavaScript

🔗 GitHub Repo
🏆 UTS AI Showcase Website
🎥 Watch the Demo Video

CNN-based Traffic Sign Recognition system
Associated with University of Technology Sydney

CNN-based Traffic Sign Recognition system using the BTSC dataset.

• Achieving 98.45% test accuracy on 22,875 augmented images
• Outperforming existing research benchmarks on the same task and dataset

Skills

• Computer Vision: CNN, Image Processing, Data Augmentation

🔗 GitHub Repo

AI E-NOSE Air Quality System for Smart Building
Associated with Hong Kong University of Science and Technology

End to End real-time IoT air quality dashboard powered by neural networks and E-NOSE gas sensors, deployed on AliCloud for low-latency monitoring and predictive analysis.

This web application that detects features the following in history and real time:

• Gases: Hydrogren / Formaldehyde / Toluene / Nitrogen Dioxide
• Temperature
• Humidity

Skills

• Hardware: Gas Sensor, Arduino Gateway, IoT
• Frontend: HTML, CSS, JavaScript, ThreeJS, EChart.js, flexible.js, jquery
• Backend: Python, Tornado, API Management, PyMongo
• Machine Learning: PCA, ANN, Regression, Classification
• Database: MongoDB

🔗 GitHub Repo

• Domain: Natural Language Processing, Computer Vision, Reinforcement Learning, Generative AI, MLOps
• Computer Vision: Object Detection, Segmentation, Image Processing, Optical Flow, Yolo, OCR
• Natural Language Processing: Visual Language Model, Large Language Model, Transformers, RAG, Prompt Engineering, LSTM, Embedding, Tokenization
• Libraries & Frameworks: TensorFlow, PyTorch, Pandas, NumPy, OpenCV, Hugging Face, LangChain, Chroma, Mediapipe, Gymnasium

• Domain: Cloud migration, Data migration, Infrastructure as Code, Serverless Architecture, Cloud Contact Center
• Libraries & Frameworks: AWS Cloud, Docker, Linux, Amazon Connect, Amazon Sagemaker, ClearML
• Infrasturcture as Code: Terraform, Terragrunt, CloudFormation, SAM

• Languages: Python, JavaScript, TypeScript, HTML, CSS, Objective C, YAML, PHP
• Libraries & Frameworks: NodeJS, React, Django, Tornado, ThreeJS, Jquery, E-Chart.JS
• Database Management: NoSQL, MongoDB

📧 Email: jason1999689@gmail.com
💼 LinkedIn - jasonwcf
🐙 GitHub - jason2134

“Let's Grow Business Together!!!” 🚀