About me:

Hello! I am HU. You can also call me Henry or HTAKM. I am an UG student of Hong Kong University of Science and Technology.

I like solving sudokus, especially killer sudoku.

I also like solving puzzles like minesweepers, filling maps with colors and more. You can find the puzzles in Portable Puzzle Collection.

Info:

Year of study: Year 4

Current Major: (COSC + AI) + DSCT

Target: Graduate in First Class Honors (Unlikely)

Contact:

Email: yhkwokae@connect.ust.hk

Games I am playing:

Games I have played:

Academic

You can check my grade here.

Experience

Undergraduate Teaching Assistant (COMP 1023)

Department of Computer Science and Engineering, HKUST
July - August 2024

After failed applications for summer TA positions in other courses, Dr. Desmond Tsoi invited me to assist in the early development of his new course, COMP 1023 (Introduction to Python Programming), due to my excellent results in COMP 2211 (Exploring Artificial Intelligence). I contributed to developing lab assignments from scratch.

Undergraduate Teaching Assistant (COMP 1023)

Department of Computer Science and Engineering, HKUST
February - June 2025

I successfully reapplied as a UGTA for COMP 1023 due to my outstanding academic performance. My responsibilities included polishing assignments developed by previous UGTAs, adding necessary testing components, and improving visualizations.

Programmer / Researcher Intern

AI Future Education Limited
July - August 2025

This was my first internship, where I worked as a programmer/researcher intern at AI Future Education Limited, a startup focusing on AI education. My role was more akin to a full-stack developer, as I contributed to both frontend and backend development, including AI chatbot development.

I was primarily responsible for backend development, using Flask, while the frontend was built with Vue.js. Additionally, I researched the performance of state-of-the-art small Chinese-language models and used llama-cpp-python for model inference. The AI chatbot was developed sequentially, employing rule-based methods for knowledge-based questions and RAG-based methods for scenario-based questions, with prompt engineering at every step.

Towards the end of the internship, we explored AWS services, including EC2, Lambda, and SageMaker. This internship provided invaluable experience in AI and web development in a real-world setting.