I am Brian Tham, an A*STAR Research Intern and Applied AI undergraduate at Singapore Institute of Technology, passionate about pushing the boundaries of AI research and its real-world applications. With a strong foundation in computer science and a keen interest in emerging technologies, I'm dedicated to developing innovative AI solutions to solve complex challenges.

Multimodal system for detecting and rephrasing profanity in both speech and text, featuring real-time analysis, automatic content refinement, and toxicity classification using advanced NLP models.

Team: Brian Tham, Hong Ziyang, Nabil Zafran, Adrian Wong, Lin Xiang Hong

Deep learning-based food detection system using YOLOv8 to identify 55 different food classes, with calorie estimation and a web interface featuring image upload and camera capture capabilities.

Team: Brian Tham, Hong Ziyang, Javier Si, Timothy Delaya

System using Wav2Vec2 to classify speech into four emotional categories (Neutral, Happy, Sad, Angry), achieving 69.02% accuracy through transformer architecture and robust data augmentation techniques.

Team: Brian Tham, Hong Ziyang

• Overseas Immersion Programme(2025) - Tallinn, Estonia: Tallin University of Technology, Cybersecurity Summer School
• Overseas Immersion Programme(2024)- Da Nang, Vietnam: FPT University, Developed AI models for land cover classification and won Best Accuracy award in emotion recognition hackathon
• Created predictive machine learning models for business applications
• Analysed ransomware attacks across industries for cybersecurity insights
• Evaluated AI chatbot performance in natural language tasks

• Programming: Python, C#, R
• Machine Learning: PyTorch, TensorFlow, Scikit-learn, Keras
• Data Analysis & Visualization: Matplotlib, RStudio, PowerBI, VBA
• Cloud Platforms: Google Cloud Certified - Professional Machine Learning Engineer, HuggingFace ZeroGPU spaces
• DevOps & Tools: Docker, Git
• Web Development: HTML, CSS, JavaScript

My experience with both software and hardware, through education, and hobby, has allowed me to gain a deeper understanding of the integration between software and hardware in computer systems. You can find my portfolio here or you can take a look at some of my repositories below! Open to connecting with fellow researchers, industry professionals, and anyone passionate about the future of AI! Always excited to discuss new ideas, collaborate on projects, or explore opportunities in the rapidly evolving field of artificial intelligence.