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Nightey3s/README.md

About Me

I am Brian Tham, an 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.

Research Interests:

  • Quantum Computing and AI Integration: Exploring synergies between quantum algorithms and machine learning
  • Advanced Recommender Systems: Enhancing personalization and accuracy in recommendation engines
  • Computer Vision: Developing robust object detection
  • GPU Acceleration in AI: Optimizing AI performance through advanced GPU technologies
  • AI Model Protection and Security: Analyzing and mitigating vulnerabilities in deep learning models

Hands-on Experience:

  • Overseas Immersion Programme (OIP) in Danang, Vietnam:
    • 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
    • Gained insights into Vietnam's tech ecosystem through visits to leading companies
  • Developed predictive models using machine learning algorithms for various business applications
  • Conducted comprehensive analysis of ransomware attacks across different industries, providing valuable cybersecurity insights
  • Evaluated and benchmarked AI chatbots, assessing their performance in natural language understanding and generation

Technical Skills:

  • Programming: Python, C#, R
  • Frameworks: PyTorch, TensorFlow, Scikit-learn, Keras
  • Tools: RStudio, PowerBI, Jupyter Notebooks, Git
  • Cloud Platforms: Basic experience with Google Cloud

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.

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  1. MachineLearning-HousingPrices MachineLearning-HousingPrices Public archive

    A jupyter notebook writen in python to determine housing prices

    Jupyter Notebook

  2. MachineLearning-Iris MachineLearning-Iris Public archive

    Machine Learning - Iris | Unsupervised Learning

    Jupyter Notebook

  3. MachineLearning-Titanic MachineLearning-Titanic Public archive

    Jupyter Notebook