A UCL graduate of Electronics & Electrical Engineering currently a Technology Associate at Astro. Hands-on experience in engineering projects through internships, university projects and competitions as well as communication, management and problem-solving skills.
• Assisted and shadowed engineers and technicians in various day-today preventive and corrective maintenance operations for power plant control and instrumentation systems.
• Involved in the implementation and review of the KKS Identification System for Connaught Bridge Power Station Generation Facility 3 for use in internal asset database to improve work efficiency.
• Researched and analysed data obtained from sources such as reports and market data which was then used to prepare reports and information decks for use in various projects.
• Responsible for a data collection and analysis project on 20 Malaysian real estate developers’ business strategies, identifying significant trends in the real estate sector from 2005 to 2015.
• Involved in the planning and designing of the website redesign for easier and more effective use.
• Maintained and contributed to council archive, website and newsletter throughout the year with a team of 5 associates.
Developed a viable solution with a team of 4 other students in reducing construction waste and aiding the transition towards a circular economy with potential cost savings of up to £52.8 million per annum.
Assisted in the direction and management of the entire creative arm of an annual theatre production consisting of over 100 students for an audience of 930 attendees and generated £600 in profit.
Developed a machine learning solution to analyse global financial markets from a given dataset and identify significant trends to enhance decision-making.
Participated with a team of 3 other students to develop a video caching algorithm solution to improve Google server loads and overall user experience.
GitHub • Paper
An implementation and comparison between a CNN, MLP and Inception v3 machine learning algorithms to predict facial features based on supervised learning as part of a graded assessment for the 4th Year Applied Machine Learning Systems module.
Paper
Research paper on multivariate machine learning algorithms to predict future pollution, weather and traffic conditions in London, presented in a user-friendly graphical interface.
Proficient in Microsoft Word, Excel, PowerPoint.
Intermediate in Photoshop, Vegas Pro, MATLAB, ROS, Gazebo, Rviz.
Intermediate in Python, Java.
Beginner in C.
Fluent in English, Malay.
Beginner in Japanese.