Biography
- Welcome to my website. Hello World from 🌏 22.3193° 114.1694° 👋
- đź” I consider myself a proactive learner who is continuously exploring the realms of Trustworthy AI, Optimization, Statistical Machine Learning, and LLMs. I am grateful to have been recognized with some awards in innovation and technology, which I view as collective achievements. My practical experience in Software Development has been shaped by opportunities to work alongside knowledgeable teams at reputable institutions and companies. These experiences have nurtured my ability to blend technical proficiency with a research-oriented mindset to navigate and contribute to complex projects within Enterprise Computing and Digital Servitization. I am always keen to learn from others and strive to bring a thoughtful, team-oriented approach to my work.
- ✍️ I strongly believe that the 3Cs - CURIOSITY, CHALLENGE, and CHANGE - will shape my future, help me achieve my goals, and positively impact my community. I am passionate about using technology to solve real-life problems (with human contextual understanding), and I am here to share my journey of rediscovering my passion for STEM. Despite facing gender stereotypes and societal expectations from selecting IT as my career before, I pursue my CURIOSITY and participate in research projects and competitions. I embrace CHALLENGES, seek innovative solutions, and am actively involved in academic exchanges and entrepreneurship. I hope to make positive CHANGES to our community, and inspire others to pursue a career in STEM.
Acknowledge not just success; sometimes failure is the motivation that drives you improvement and is surely worth remembering. Take them with a grain of salt.
- Did not receive the D. H. Chen Foundation Scholarship 2021.
- Did not receive the Jockey Club Scholarship 2021.
- Did not receive the HSBC HK Scholarship 2023.
- Criticized by various people for my decisions (Decisions aren’t black-and-white. You always gain and loss at the same time. With that being said, evaulate problems case-by-case. If you’re determined and has optimized your decision based on your circumstances, trust your ego (Freud’s theory), or in other words, intuition; take opinions with critical thinking—responsbility for yourself :))
Miscellaneous
Whole-person development is important, ensure you are living life both mentally and physically healthy :) The most important thing I value is being your unique self, love what you are working on and not conforming to others blindly.
- Novels/Films: Sci-fi favorites include The Three-Body Problem, Interstellar, and Resident Evil, etc.
- Documentaries: Primarily about natural sciences, history, biography, etc.
- Exercise: Gym workouts, swimming, and badminton.
- Music: Piano and music genres like R&B, dreampop, darkpop, electropop, and hip-hop.
- Cooking: Chinese cuisine, desserts (bread and cake), and Western dishes.
- Gaming: I play FPS and TPS games such as PUBG, CSGO, and action-adventure games like Assassin’s Creed and GTA. I also enjoy improving my skills through online tutorials.
- Philosophy: Metaphysics, Epistemology, Philosophy of Mind and Science, etc.
- Cleaning up and organizing stuff
Interests
- Trustworthy AI
- Optimization
- Statistical Machine Learning
- Large Language Models (LLMs)
Education
BSc in (Industrial and Systems Engineering) Enterprise Engineering with Management + Computing, 2020-2025
Hong Kong Polytechnic University, HKSAR, China
Exchange Student in IEOR + Computer Science, 2024
University of California, Berkeley, USA
Research Intern in Computer Science, 2023
McGill University, Montreal, Canada
Experience
Responsibilities include: Machine Learning for Product Modeling
- Currently working on Uncertainty-aware Deep Learning with SNGP
Machine Learning Engineer Intern
Responsibilities include: Object Detection Model Building
- Implemented COCO segmentation format and used data augmentation techniques for preprocessing.
- Utilized object detection model YOLO to identify LED screens to enhance clients’ user selection experience.
- Assisted Hon Hai Precision Industry in automation by using Detectron2 model, achieving over 90% accuracy in checking for defects in hardware components like ribbon cables, heat sinks, coaxial cables, and small wiring harnesses.
Software Engineering Intern on ML
Responsibilities include: Backend Development and Data Pipeline Optimization
- Developed and maintained integrations with external eSports data providers to verify odds values.
- Engineered and managed pipeline using AWS Lambda, S3, and DynamoDB.
- Designed and optimized the games’ data pipeline to ensure data integrity and usability for predictive analytics.
- Refactored code to remove unnecessary blocks, improving overall code quality and performance.
Research Intern
Responsibilities include: Building a Multi-Agent System for Real-Time Conversations Between Humans and AIs
- Contributed to the development of a Multi-Agent System that facilitates real-time interaction between humans and AI from scratch, enhancing user experience and system responsiveness.
- Optimized the Recommender Systems with 10000 virtual user profile.
Responsibilities include: LLMs for ontology matching
- Applied LLMs such as GPT-4, BERT, etc. to analyze and interpret metamodels; Benchmarked and tested ontology matching algo COMA 3.0 and LogMap on a set of metadata.
- Achieved an average F-measure of 91%, greatly surpassing the baseline approaches, which have a maximum average of 29%
Responsibilities include: Machine Learning for Code and Documentation
- Integrated Large Language Models (LLMs) to improve Software Engineering practices, particularly in code generation and documentation.
- Developed and deployed web-based tools using React.js, facilitating the use of LLMs by software engineers.
Responsibilities include: Software and Hardware Development
- Engineered a 3D-aware localization system that significantly improved spatial accuracy using UWB technology.
- Programmed and refined the collision detection algorithm, enhancing the precision of the positioning system.
- Developed a user-friendly GUI to control and monitor the system, improving user engagement and system manageability.
Responsibilities include: Using MAML, DRL, and other AI techniques in Human-Robot Collaboration
- Project 1: Meta-reinforcement Learning Based Control Approach for Assisting HRC in Personalized Production (2021/12-2022/08)
- Keywords: Model diagnostic meta-learning, Proximal policy optimization DRL, Robotics Perception
- • Awarded paper by HKIE CA Paper Competition 2021/22
- • Designed self-learning robotic assisted systems (SLRAS) with self-adapt DRL algorithms to assist human operators
- • Enhanced the performance by about 75% on average
- Project 2: Mutual Cognitive Human-Robot Collaborative Manufacturing System (2022/01-2023/02)
- Keywords: Deep Reinforcement Learning, Augmented Reality, HRC
- • Awarded HKICT Student Innovation Grand Award and Gold Award and APICTA Award
- • Integrated virtual and realistic task planning and dynamic guidance of visual data to enhance the intelligence of robots and to facilitate information sharing with Augmented Reality
- • Conducted human-in-the-loop control approaches
AccomplishÂments
Research
- HKIE Student Paper Award (Champion) 2021/22 for Project entitled “Meta-reinforcement Learning Based Control Approach for Assisting Human-Robot Collaboration in Personalized Production”
- Canada Mitacs Globalink Scholarship: 500 students over the world are invited to join the research internship in Canadian universities.
- UG Summer Research Abroad Scholarship (USRA): Research Scholarship for Undergraduate Students to conduct research in Massachusetts Institute of Technology (MIT) Hong Kong Innovation Node
- Undergradute Research and Innovation Scheme (URIS) Scholarship: Research Scholarship for Undergraduate Students to conduct research in Hong Kong Polytechnic University, Project entitled “Meta-reinforcement Learning Based Control Approach for Assisting Human-Robot Collaboration in Personalized Production” and “Mutual Cognitive Human-Robot Collaborative Manufacturing System”.
Innovation
- Innovation and Technology Scholarship 2023 (HK$150,000): Aims to provide recognition to outstanding undergraduates who have demonstrated exceptional skills and achievements in IT.
- 21st Asia Pacific Information and Communications Technology Alliance (APICTA) Awards (Student-Tertiary Technology): Being a member of the HKSAR delegation and winning the largest yearly international ICT awards. Our team is the first Hong Kong winner in the tertiary student category in the past 4 years.
- Gold Award of The 8th China International College Students’ ‘Internet+’ Innovation and Entrepreneurship Competition: Ranked in the top 0.009% to win the highest award among 3,400,000 participating teams. Participation was by 25.33 million college students in 6.03 million teams from 121 countries and regions in five continents, and the competition has become the largest global event for innovation and entrepreneurship.
- Hong Kong ICT Student Innovation Award (Tertiary or above) Gold Award and Grand Award in Student Innovation Stream for Project entitled “Mutual Cognitive Human-Robot Collaborative Manufacturing System”: Ranked in the top 0.3% to win the overall championship among 330 participating teams in Student innovation catorgory.
Leadership
- Outstanding Tertiary Students Award of Hong Kong 2023
- Presidential Student Leadership Award of Department 2023
Academic
- HKSAR Government Scholarship 2022/23-2023/24
- HKSAR Government Fund - Reaching Out Award 2023
- HKSAR Government Fund - Talent Development Scholarship 2023
- The Cheng Foundation Scholarship 2023
- For Our Future Scholarship 2023
- ASMPT Scholarship 2023
- Dean’s list (Faculty of Engineering)
- Shun Hing Electric Works and Engineering Scholarship 2021/22
Recent Posts
Projects
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These are internship projects at Synergies Intelligent Systems, Inc. Tasks include using the YOLO object detection model to identify object areas and classify hardware defects with Detectron2. All rights reserved by Synergies Intelligent Systems, Inc.
This project focuses on developing a novel approach to metamodel matching using large language models, supervised by Dr. Hamdaqa at Polytechnique Montréal Software and Emerging Technologies Lab.
This intership project focuses on developing a data pipeline using AWS and a web crawler to preprocess and standardize data. Team members include KWOK Hin Chi, Alfonso Portilla, Octavio Lomeli-Castro, and Karthik Iyer. All rights reserved by Rimble.
This is a project (IEOR215) at UC Berkeley, made by Hin Chi Kwok, Gilberto Yarritu, Zixuan Huangfu, Yi Fang and Yu-Heng Ch. The university currently utilizes several disjointed systems for its academic management needs. This fragmentation leads to inefficiencies in academic record maintenance, scheduling, and resource management, making the processes cumbersome and error-prone. The proposed University Academic Management System (UAMS) aims to centralize and streamline the management of academic records, course scheduling, faculty assignments, and classroom allocations. By doing so, UAMS will ensure higher data integrity, improve accessibility, and enhance the decision-making capabilities of academic administrators.
This is a project (IEOR156) at UC Berkeley, made by Hin Chi Kwok. The healthcare services at UC Berkeley is undergoing a significant transformation with the integration of data analytics and technology; and we aim to leverage data analytics and optimization techniques to improve the efficiency and effectiveness of healthcare systems, specifically focusing on appointment scheduling and queue management within a healthcare facility.
This is an internship project at UC Berkeley and Nexa Speech, under the supervision of @NexaSpeech Lorenz Pichler and Alessandro Neri, made by Hin Chi Kwok, Kai Qin, Jaiteg Chahal, Nick Angelici, Nicole Han, and Ediz Ertekin.
This research project at McGill University under the supervision of Dr. Jin Guo in the McGill Software Technology Lab seeks to critically assess the current capabilities and limitations of ML-based documentation generation tools. By focusing on the generation of pertinent and high-quality information, the project aims to enhance the utility of these tools for developers, ultimately leading to more efficient and effective software engineering practices. The success of this project could lead to more context-aware machine learning solutions that align closely with the nuanced needs of software engineers.
A Group Project of Database Systems (COMP2411) subject at The Hong Kong Polytechnic University, made by CHEN Derun, JIANG Guanlin, KWOK Hin Chi, LIU Minghao, YE Haowen, and ZHANG Wengyu.
This project mainly focused on the research of the Ultra-wideband (UWB) technology and Internet of Things as well as their applications; supported by MIT Hong Kong Innovation Node and The Hong Kong Polytechnic University, made by KWOK Hin Chi, PAN Zewen, and ZHANG Wengyu from The Hong Kong Polytechnic University.
The Petronus Spherical Robot is an innovative pet sitter designed to enhance the quality of life for pets and their owners. Leveraging the latest trends in Artificial Intelligence (AI) and the Internet of Things (IoT), the mission of the product is to provide practical solutions for pet monitoring and care, made by KWOK Hin Chi, SALEH Alessandra Sylva, WONG Pak Ki, WONG Sze Nga, LUI Uen Yau, SO Hiu Lam, and SIN Tak Chi.
Recent Publications
Quickly discover relevant content by filtering publications.
(2024).
”SMATCH-M-LLM： Semantic Similarity in Metamodel Matching With Large Language Models“.
under review.
(2022).
Meta-Reinforcement Learning Based Control Approach for Assisting Human-Robot Collaboration in Personalized Production.
accepted for presentation at CASE 2022.
Recent & Upcoming Talks
Contact
I’m interested in the areas of Trustworthy AI, Optimization, Statistical Machine Learning, and LLMs. Feel free to reach out to me for further discussion.