Mr. Yong Chi Chua | Epigenetics | Best Researcher Award

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

1. 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.

2. 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