Resume | Brian Tham

Resume

Quantum Computing and AI

Recommender Systems

Computer Vision

GPU Acceleration in AI

AI Model Protection

Large Language Models

Experience

September 2025 - April 2026
Research Intern - Deep Learning for Image Super-resolution and Denoising

A*STAR Research Internship Award (ARIA)

Agency for Science, Technology and Research (A*STAR), Institute for Infocomm Research (I2R)
Singapore
September 2024 - December 2024
Research Student on AI Model Protection
Singapore Institute of Technology
Singapore
  • Researched on protecting deep neural networks against model extraction attacks, with a focus on improving security and robustness of AI models.
  • Conducted comprehensive literature review analyzing current AI model protection techniques, focusing on model watermarking, adversarial robustness, and defense mechanisms against model extraction attacks. Primary areas included box-free model vulnerabilities and watermarking methodologies for neural networks.
  • Implemented and evaluated a UNet model for brain MRI segmentation as a test case for model extraction vulnerability analysis.
October 2021 - August 2023
Admin Support Assistant
Ministry of Defence of Singapore
G1-Army, Requirement & Allocation branch
  • Automated data processing & visualisation in PowerBI and Excel
  • Maintained & updated VBA scripts for automated data cleaning
  • Extraction and cleaning of data for analysis to draw insights
View testimony
September 2020 - February 2021
Digital Learning Intern
Lee Kong Chian School of Medicine
Novena, Singapore
Enhancing Medical Education Through Art, Design and Media
  • Boosted test scores 20% through custom e-learning solutions
  • Digitized and optimized medical reference materials via Google Sites
  • Developed medical content through stakeholder collaboration
  • Created medical storyboards, 2D/3D illustrations, and animations
  • Produced educational content using Adobe Captivate
  • Designed and developed healthcare-focused educational games
View testimony

Education

2023 - Present
Singapore Institute of Technology
Singapore
Undergraduate
Applied Artificial Intelligence
Global Experiences
Overseas Immersion Programme (OIP)
Tallinn University of Technology, Tallinn, Estonia (July 2025)
  • Cybersecurity Summer School
  • Company Visits to: CCDCOE, CR14, Clarified Security, Maritime Cyber Security Centre
FPT University, Da Nang, Vietnam (August 2024)
  • Developed AI models for DeepGlobe Land Cover Classification, achieving high accuracy in segmentation tasks
  • Won Best Accuracy of Model award in FER-2013 dataset hackathon, demonstrating proficiency in emotion recognition
Relevant Coursework
Foundations
  • Programming Fundamentals
  • Data Structures and Algorithms
  • Introduction to Computer Systems
  • Mathematics 1
  • Mathematics 2
  • Ethics and Professional Conducts
AI/ML Specialization
  • Machine Learning
  • Computer Vision and Deep Learning
  • Large Language Model
  • Data Engineering and Visualization
  • Cloud Computing and Big Data
  • Edge Computing and Analytics
View transcript
July 2025
Tallinn University of Technology
Tallinn, Estonia
Summer School
Cybersecurity
Company Visits
  • CCDCOE
  • CR14
  • Clarified Security
  • Maritime Cyber Security Centre
Coursework
Foundations & Core Security
  • Introduction to Cyber Security
  • Estonian Cyber Security Since 2007
  • Cyberphysical Systems
  • International Relations and Cybersecurity
  • Cybersecurity and International Law
  • Introduction to Digital Forensics
  • Hacker Mindset
Specialised Applications & Operations
  • Open-source Monitoring Solutions for Building SOC
  • Incident Handling
  • Open Source Intelligence + Threat Intelligence
  • Psychological Operations
  • The Power of Social Media
  • Hacking the Human
  • Low Hanging Fruits in Malware Related Incident Handling
  • Study Visit to Clarified Security
  • Study Visit to Maritime Cyber Security Centre
  • Study Visit to CCDCOE and CR14
August 2024
FPT University
Da Nang, Vietnam
Summer School
Computer Vision and Deep Learning
Company Visits
  • Code Complete
  • Rikkeisoft
Coursework
Foundations & Core Concepts
  • Introduction to Deep Learning and Linear Regression
  • Logistic Regression and Feedforward Neural Networks
  • Convolutional Neural Networks (CNNs)
  • Advanced Convolutional Neural Networks (VGGNet, GoogLeNet, ResNet, EfficientNet)
  • Satellite Imagery Land Classification Fundamentals
  • Dataset Exploration and Preprocessing
Advanced Applications & Deployment
  • Generative Models (Autoencoders, GANs, Stable Diffusion)
  • Data Augmentation Techniques
  • Model Deployment and Containerization (Docker)
  • Cloud-based Deployment Strategies
  • Project Finalization and Presentation
  • Competitive Hackathon Challenge
  • Company Visits (CodeComplete & Rikkeisoft)
  • Cultural Exchange and Community Service
View Certificates
2018 - 2021
Singapore Polytechnic
Singapore
Diploma
Information Technology
Activities and societies
  • Vice President of Singapore Polytechnic Infocomm Club (2019 ~ 2020)
  • Represented Singapore Polytechnic in the CDIO Academy 2019 [Aarhus, Denmark]
Relevant Coursework
  • Artificial Intelligence & Machine Learning
View transcript

Professional Skills

Machine Learning
Deep Learning
Computer Vision
Natural Language Processing (NLP)
Large Language Models (LLMs)
Artificial Intelligence
DevOps (Docker)
Software Engineering
Version Control (Git)

Languages

Python
C#
R
TensorFlow
PyTorch
LaTeX

Let's get in touch

Contact me