Hi, I'm passionate about Machine Learning, AI Research, and building software that changes the world. I'm particularly interested in LLM Evaluation Space.

Focused on building EvalHub right now.

💼 Notable Projects

• EvalHub: A platform designed to help researchers and developers discover evaluation metrics for their machine learning models, streamlining the process of evaluating AI models.
• Fine-tuning Large Language Models (DeepSeek Base): Exploring the use of Low Rank Adapters (LoRA) for efficient model fine-tuning and deployment.
• FRIDAY Conversational AI Agent: A platform for knowledge base understanding, training, and customer service. Won 1st Place (AI/ML Category) at NUS Fintech Hackathon 2023.
• Predicting Singlife clients' purchasing behaviors: Won 2nd Place in the ML category at NUS Datathon 2024.

📚 Favourite Research Papers

• "One-Shot Learning of Object Categories" by Fei-Fei et al.: Pioneering work on learning new object categories from a single example.
• "Attention Is All You Need" by Vaswani et al.: Fundamental paper introducing the Transformer model, revolutionizing natural language processing.
• "A Feature Integration Theory of Attention" by Treisman and Gelade: Influential theory on how humans integrate different features of objects to focus attention.

🌱 Learning and Goals

• Currently deepening my understanding of Natural Language Processing (NLP), advanced Deep Learning techniques, and Computer Vision.
• Aiming to contribute to AI research and develop innovative solutions to real-world problems.
• Actively participating in Kaggle competitions to sharpen my skills and collaborate with the global data science community.

⚡ Fun Fact When I'm not immersed in AI and Deep Learning, I enjoy learning new languages and exploring different cultures.

Feel free to explore my repositories, and let's connect if you share similar interests or have exciting ideas to discuss!