Mr. Yong Chi Chua | Epigenetics | Best Researcher Award

University of Technology | Malaysia

Author Profile

🌟 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

Introduction:

Welcome to the Genomic Exploration Excellence Award, a prestigious recognition celebrating groundbreaking contributions to the field of genomics. This award seeks to honor individuals who have demonstrated exceptional innovation, insight, and impact in advancing our understanding of the genome.

About the Award:

Eligibility:

Open to researchers worldwide Age Limits: None Qualification: Demonstrated excellence in genomic exploration Publications: Relevant publications may be submitted Requirements: Detailed in the Submission Guidelines

Evaluation Criteria:

Scientific rigor and innovation
Impact on advancing genomic knowledge
Contribution to interdisciplinary collaboration
Potential for future impact
Clarity and significance of findings

Submission Guidelines:

Submit a biography, abstract, and supporting files
Follow the provided template for submission
Deadline for submissions is [date]

Recognition:

Trophy or certificate of achievement
Public recognition on our website and social media platforms
Opportunity to present findings at a prestigious event

Community Impact:

By recognizing outstanding achievements in genomic exploration, this award aims to inspire the next generation of researchers and foster collaboration within the scientific community.

Biography:

Please provide a brief biography highlighting your academic and professional achievements relevant to genomic research.

Abstract and Supporting Files:

Include a concise abstract summarizing your research findings, along with any supporting files (e.g., publications, datasets).

Yong Chi Chua | Epigenetics | Best Researcher Award