University of Technology | Malaysia
Author Profile
Scopus
🌟 Chua Yong Chi: AI Software Engineer Extraordinaire 🌟
🎓 Education
🎓 Master of Computer Science
University of Technology Malaysia
CGPA: 3.95 / 4.0, UTM National Postgraduate Fund (NPF) Scholarship
October 2021 - April 2023 | Skudai, Johor, Malaysia
🎓 Bachelor of Computer Science (Computer System)
University of Putra Malaysia
CGPA: 3.677 / 4.0, Second Upper Class Honour
October 2017 - September 2021 | Serdang, Selangor, Malaysia
💼 Professional Experience
🤖 AI Software Engineer
Redfin Technology
July 2023 - Present | Kuala Lumpur, Malaysia
- Lead and coordinate an AI team to ensure timely completion of tasks.
- Communicate effectively with project managers to gather requirements and align team efforts.
- Utilize advanced knowledge in the RASA framework for AI chatbot development.
- Implement NLP techniques including featurization, tokenization, data labeling, entity recognition, and intent classification.
- Apply machine learning skills in feature engineering, classification, performance evaluation, and data modeling.
- Conduct data analysis to extract and analyze conversation data, optimizing model performance.
- Utilize TensorBoard to monitor model training.
- Develop and deploy AI models using microservices architecture.
- Implement web development using Vue.js, Spring Boot, and MySQL.
- Create REST APIs to interact with databases for data validation and insertion.
- Develop Docker containers for model training to handle OS dependency issues.
- Use SQL queries for data insertion and extraction.
- Debug code to identify and resolve errors efficiently.
💻 Java Developer Intern
Cyber Village
March 2021 – August 2021 | Kuala Lumpur, Malaysia
- Collaborated with a team to develop a Fintech project using HTML, CSS, JavaScript (AngularJS), and Java (Spring Framework).
- Tested web applications for bugs, documented processes, and fixed issues.
- Assisted in creating a prototype for a new Fintech project by reusing existing code.
🔬 Projects
- Q-learning Model for Selection of Genetic Markers Associated with Acne
- Developed a reinforcement learning agent using the Q-learning model to select genetic markers associated with acne.
- Conducted data preprocessing and data mining for acne gene expression datasets using R programming.
- Developed a Q-learning agent using Python (NumPy, pandas) and designed Markovian domains (state, action, rewards, Q-value) for the gene expression datasets.
- Evaluated the performance of selected genes with logistic regression classification and analyzed their relationship with acne through PubMed text data mining.
- A Microservices Based Framework for IoT System in Smart Home Environment
- Developed an IoT environment system on Raspberry OS and Docker, including temperature and humidity monitoring, light intensity monitoring, and light automation.
- Created independent and loosely coupled features using different API IDs for each sensor.
- Developed a messaging protocol between sensor and server using MQTT (Eclipse Mosquitto), backend function and API using JavaScript (Node-RED), database storage using InfluxDB, and data visualization using Grafana.
📚 Publications
AI-driven Q-learning for Personalized Acne Genetics: Innovative Approaches and Potential Genetic Markers
Published in the Egyptian Informatics Journal
Read more
💡 Skills
- Programming Languages: Python, Java, R, JavaScript (AngularJS, Vue.js)
- Frameworks & Tools: RASA, Spring Boot, Docker, TensorBoard, Git, GitLab, Visual Studio Code, Eclipse
- Databases: MySQL, InfluxDB
- Technologies: Microservices architecture, REST API, SQL
- Data Science: NLP, Machine Learning, Data Analysis, Feature Engineering
🏅 Activities
Event President
UPM 6th Modern Dance Performance - F6und, March 2020
- Coordinated over 100 active members and involved over 1000 audiences.
Club President
UPM Extreme Dancer Club, October 2018 – October 2019
- Led and communicated with a 25-member organization.
🌐 Additional Information
- Languages: English, Chinese, Malay
- Interests: Gym, Dancing, Travelling, Badminton
📚 Notable Publication
AI-Driven Q-Learning for Personalized Acne Genetics: Innovative Approaches and Potential Genetic Markers
Authors: Chua, Y.C., Nies, H.W., Kamsani, I.I., Nies, Y.H., Mohamad, M.S.
Journal: Egyptian Informatics Journal
Volume: 26
Pages: 100484
Year: 2024