About Me

Hi, I'm KC, a recent graduate with work and research experience in Machine Learning, Large Language Models, Data Analytics & Visualization, Cybersecurity, and STEM Education.


I enjoy pushing my limits and trying new experiences, as they always give me new perspective on life and better understanding of myself and the world around us.
My vision is to help change the world for the better by applying machine learning research to solve real-world challenges.


MSc in Artificial Intelligence from King's College London (2022 - 2023)
BEng in Computer Science from Hong Kong University of Science and Technology (2018 - 2022)


Experiences

STEM Course Tutor @10botics Ltd

Jun 2022 - Aug 2022 | Hong Kong
[ Part-time ]
I taught classes on machine learning and data science for gifted secondary school students, prepared and delivered lecture materials including slides, interactive quizzes, and coding exercises.

Undergraduate Teaching Assistant (UGTA) @HKUST

Feb 2022 - May 2022 | Hong Kong
[ Part-time ]
As the UGTA of an introductory computer science course (COMP 1021) with over 500 students, I hosted weekly lab sections and assisted in lectures to answer students' questions regarding lab assignments and lecture materials.
#Python

Summer Intern, Technology Consulting - Cybersecurity @EY

Jun 2021 - Aug 2021 | Hong Kong
[ Full-time Internship ]
I was involved in several cybersecurity projects at EY throughout this three-month internship. First of all, I created data privacy frameworks and guidelines, as well as preparing corresponding training materials, for a multinational food & beverage corporation, as a part of their data privacy protection and data security programme rollout, in order for them to obtain ISO27001 and ISO27701 certifications. Also, I performed cyber resilience assessment for a major bank in Hong Kong, which involved checking their compliance with the HKMA's C-RAF standard as well as providing recommendations on how to improve their cyber resilience based on the risk findings. Besides, I assisted in mobile app penetration testing for a power and utilities company in Hong Kong, including reverse engineering, static code analysis, dynamic testing, etc., by utilising various penetration testing tools such as Burp Suite and MobSF.

Data Scientist @F-Stem Solution Ltd

Dec 2020 - Jan 2021 | Hong Kong
[ Full-time Internship ]
I worked with Prof. Charles Lam to conduct research on misinformation detection. We constructed a dataset of misinformation and verification, experimented on misinformation classification with deep learning. I also worked on enhancing the company's fact-checking platform in machine-generated fake news detection.
#Python #PyTorch #GoogleColab #AWS

AI Developer @Parami Co. Ltd

Jun 2020 - Aug 2020 | Hong Kong
[ Full-time Internship ]
During my first internship, I trained a deep learning model for paraphrasing Chinese and English, powered by a round-trip translation (two translation models), and released it on GitHub . I also contributed to Duckling , a Haskell library that parses text into structured data, by improving its ability in recognizing conversational words, Cantonese wordings, short forms and intervals. I also experimented with a new approach for deep learning-based question answering system .
#Python #Haskell #PyTorch #GCP

Student Helper @Office of Institutional Research, HKUST

Jun 2019 - May 2022 | Hong Kong
[ Part-time ]
I designed and maintained over 20 interactive dashboards for visualizing data of the university, such as university rankings and research funding data, by using a business intelligence software. I also helped collecting those data by using web scraping tools or writing code.
#QlikSense #Excel #Python
Image

Undergraduate Research Opportunities Program @HKUST

Jun 2019 - Aug 2019 | Hong Kong
[ Research Program ]
I spent the summer after freshman year doing a UROP project. I worked with a PhD student to study how people react to a social issue in Hong Kong by analyzing social media data, including information of posts and users' reaction to posts. Supervised by Prof. Pan Hui .
#Python

Secretary for Publicity @Student Council, Ying Wa College

2016 -2017 | Hong Kong
[ Extra Curricular Activity ]
As the Secretary for Publicity, I led a team to publicize activities of the Council through designing posters and souvenirs. I also organized interschool and school-wide activities, including carnival, Christmas Ball, leadership camp and mentorship program. One of the greatest activity that I have organized was forming a Human Puzzle to celebrate the 198th anniversary of my secondary school, by gathering more than 1000 people (students, teachers and staff) to form the word "YWC 198".
#Photoshop
Image

Treasurer & Editor @School Newspaper-Torch, Ying Wa College

2016 - 2017 | Hong Kong
[ Extra Curricular Activity ]
I editted the articles in the science section of Torch, Volume 51 (Issue 1 & 2). I also designed the layout of the science section of Torch, Volume 51 Issue 2.
#Photoshop

Chairman @Environmental Protection Club, Ying Wa College

2015 - 2016 | Hong Kong
[ Extra Curricular Activity ]
I led a team to organize activities that raise schoolmates’ awareness of environmental protection, such as Eco Tour and workshops. I also supported environmental protection projects at school, including campus greening and recycling projects.

Youth Ambassador @Sowers Action

2015 - 2016
[ Voluntary Activity ]
I organized and participated in fundraising events and a service trip to the deprived area in Yunnan.

Projects & Hackathon

MSc Individual Project

7CCSMPRJ | SEM2 | KCL
Title: Graph Neural Network for Knowledge Tracing
Supervisor: Dr. Zheng Yuan
Abstract: The emergence of online learning platforms has created the need and research opportunities for developing knowledge tracing models that predict students’ knowledge proficiency and performance on exercises over time, in order to automatically track students’ learning progress and provide personalised learning experiences. While a number of methods have been developed by machine learning researchers to tackle such problems, in this project, we propose a graph construction approach for graph-based knowledge tracing models that utilises the taxonomy of knowledge concepts, as well as the Exercise-aware Graph Knowledge Tracing model that incorporates addition textual information from exercises into prediction, aiming at enhancing the predictive performance of existing models by extending their research. Results from our experiments clearly demonstrate the improvement achieved by our proposed models in predicting students’ future interactions on e-learning platforms.
#Python #PyTorch #Transformers

Final Year Project

COMP 4981 | Summer 2021 - Spring 2022 | HKUST
Title: UniFi: Machine learning-based Investment Guidance System for University Students
Supervisor: Prof. Dik Lun Lee
Abstract: Despite the increased interest in investments, university students lack financial literacy and specialized recommendation in stock trading. In this project, we created a financial prediction and portfolio advising system, where young investors are provided with customized portfolio recommendations, price trend predictions, as well as financial information and knowledge. Rigorous experiments on price prediction were conducted and existing research was extended by enhancing price prediction models with correlations that achieved a prediction accuracy of 98.47%. Optimized portfolio recommendations were generated based on machine learning predictions and tested trading strategies, and achieved a 15% annualized return (3% higher than the market) for 6.5 years. While university students can learn to invest individually or as a group, our system will assist the young and inexperienced in making more intelligent investment decisions on their journey towards early financial freedom.
#Python #Tensorflow #Darts #ReactJS #NodeJS #MySQL
Image

2nd Runner Up @Finspire Hackathon

Mar 2020
[ Hackathon ]
I participated in Finspire as my first hackathon experience. Our team prototyped an augmented reality shopping and retailing app. As the 2nd runner up, we were also invited to join a three-month mentorship programme which we had the chance to consult domain experts, improved our prototype and learnt how to turn our ideas into business.
Image

Participant @hackUST 2021

Mar 2021 - Apr 2021
[ Hackathon ]
Responding to the challenge of Smart Travel Technology, our team prototyped TaleUS, a Geo-AR trvavel assistance app that allows locals/story-tellers to pin voice recordings into a real location, while tourists can access and listen by positioning themselves in the proximal area and find the recordings in the AR viewfinder. We believed that such app can allow locals to leave their stories for tourists to learn, so as to provide a more authentic travel experience.
#Java #Android Studio #Figma
Image

Telegram Bot @Github

Oct 2020
[ Self-initiated Project ]
One day, while I was playing the game Werewolf (or The Werewolves of Millers Hollow) with my friends, I realized that one of us couldn't partiicipant in the game in each round as the game requires a moderator. Therefore, I programmed a telegram bot to act as the moderator so that everyone can enjoy playing the game and shared it on Github.
#Python

Stock Price Scraper @Github

Aug 2020
[ Self-initiated Project ]
One day, a friend of mine, who likes to analyze stock market data on Google Sheets, asked me for help as the function used to retrieve data does not function well. So I created a scraper that can retrieve data in one click for my friend and released it on GitHub.
#Python

Selected Coursework

Pattern Recognition, Neural Networks and Deep Learning

7CCSMPNN | SEM2 | KCL
Coursework: Deep Neural Networks, SVM
#Python #Tensorflow

Data Mining

7CCSMDM1 | SEM2 | KCL
Coursework: Decision Trees, Cluster Analysis, Text Mining
#Python #scikit-learn

Nature-Inspired Learning Algorithms

7CCSMBIM | SEM2 | KCL

Distributed Ledgers and Crypto-currencies

7CCSMDLC | SEM2 | KCL

Artificial Intelligence Planning

7CCSMAIP | SEM1 | KCL

Agents and Multi-Agent Systems

7CCSMAMS | SEM1 | KCL

Philosophy and Ethics of Artificial Intelligence

7CCSMEAI | SEM1 | KCL

Human-Computer Interaction

6CCS3HCI | SEM1 | KCL
Group Project: Prototype an app to support students in managing their student flat
#Axure

Big Data Mining and Management

COMP 4332 | Spring 2022 | HKUST
Alternative Title: Scalable Deep Learning and Approximate Algorithms for Heterogeneous and Massive Data Mining
Team Projects: Sentiment Analysis, Social Network Mining, Rating Prediction (on Yelp Dataset)
#Python #Tensorflow #PyTorch #NetworkX

Computer Communication Networks I

COMP 4621 | Spring 2022 | HKUST
Project: Server-based Multiparty Chatroom
#C

Cloud Computing and Big Data Systems

COMP 4651 | Spring 2022 | HKUST
Team Project: Amazon Product Recommendation using Spark
Assignments: EC2 Performance Measurement, HDFS, MapReduce Programming, Spark programming & machine learning
#Java #Python #AWS #HDFS #MapReduce #Spark #VirtualBox #Databricks

Deep Learning in Computer Vision

COMP 4471 | Fall 2021 | HKUST
Assignments: Image Classification, Image Captioning, Style Transfer, GANs (same as Standford's CS231N)
Team Project: Conditional Cat Face Generation with StyleGAN2
#Python #Tensorflow

Machine Learning

COMP 4211 | Spring 2021 | HKUST
Assignments & Projects: Face Comparison System, Fake News Detection, News Classification, Generative Adversarial Networks
#Python #scikit-learn #PyTorch #GoogleColab

Search Engines for Web and Enterprise Data

COMP 4321 | Spring 2021 | HKUST
Team Project: Web Search Engine
#Java #VS Code

Computer Graphics

COMP 4411 | Spring 2021 | HKUST
Projects: Impressionist (image processing), Modeler (3D hierachical modelling), Trace (ray tracing), Animator (spline-based animation & particle system)
#C++ #OpenGL #FLTK #Visual Studio

Operating Systems

COMP 3511 | Spring 2021 | HKUST
Projects: Simplified Linux Shell (Multi-level Pipe), Banker’s algorithm
#C

Software Engineering

COMP 3111 | Fall 2020 | HKUST
Team project: Data analysis and visualization software
#Java #Eclipse

Fundamentals of Artificial Intelligence

COMP 3211 | Fall 2020 | HKUST
Assignments: UC Berkeley Pac-Man Project, Z3 Theorem Prover
#Python

Principles of Cybersecurity

COMP 3632 | Fall 2020 | HKUST

Design and Analysis of Algorithms

COMP 3711 | Fall 2020 | HKUST

Object-Oriented Programming and Data Structures

COMP 2012 | Spring 2020 | HKUST
Assignments: database, game programming, data analysis
#C++ #Eclipse

Computer Organizations

COMP 2611 | Spring 2020 | HKUST
Project: 2048 game programming
#MIPS

Applied Statistics

MATH 2411 | Spring 2020 | HKUST
Team project: statistical data analysis
#R

Programming with C++

COMP 2011 | Fall 2019 | HKUST
Assignments: data analysis, game programming, html crawling
#C++ #Eclipse

Introduction to Computer Science

COMP 1021 | Spring 2019 | HKUST
Labs: game programming
#Python

Introduction to Electro-Robot Design

ELEC 1100 | Spring 2019 | HKUST
Team project: Built an autonomous vehicle that can navigate through an obstacle course
#Arduno
Image

First Year Cornerstone Engineering Design Project Course

ENGG 1100 | Fall 2018 | HKUST
Team Project: Built an off-road vehicle with trailer that can navigate through an obstacle course while carrying a cup of water
#Arduino #App Inventor #3D Printing
Last updated: Oct 2023