Hi Everyone! I'm Lau Kwun Hang! 👋
MPhil CS student at HKUST
I am a second-year MPhil student in Computer Science and Engineering at HKUST, specializing in Vector Databases and RAG. I graduated from CUHK with First Class Honours in Computer Science and a minor in Statistics. I am passionate about mastering modern technologies and currently open to job opportunities.
👨🏻💻 About me
- 🔬 MPhil Candidate in CS at HKUST, focused on Vector Databases and RAG
- 🎓 Graduated from CUHK with first class honours in CS
- 📖 Completed minor in Statistics
- 🧐 Growing my skillset in Machine Learning, AI applications and Data Science
- 👩🏫 Passionate about learning the modern technologies
- 🧗 My hobby is bouldering btw
- 💻 Open for job opportunities
🚀 Projects
- CatRAG Proposed a Context-Aware RAG framework building on the HippoRAG 2, which consistently outperforms current state-of-the-art baselines.
- TA-RAG Proposed a new Time-Aware RAG framework and dataset for answering Diachronic Questions.
- PGVector Custom Implementation Extended the PGVector extension by building a custom index access method from scratch. Implemented manual brute-force search logic within the PostgreSQL indexing API to demonstrate a deep understanding of database internals, vector search architecture, and C extension development.
- Literature Review of Embedding Model Provided an review of embedding model underpinning RAG pipelines, exploring different model architectures, training approaches, and evaluation benchmarks.
- Federated-Learning-Analysis Analyzed the performance of various federated learning algorithms on real-world datasets as a final year project..
- Teddit Developed a Twitter clone built with the MERN stack to demonstrate modern web development practices.