WP. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
I am a problem solver at heart and I enjoy leveraging technical knowledge along with essential soft skills to tackle complex, real-world challenges. With meticulous attention to detail and a passion for continuous growth, I thrive at the intersection of analytical rigour and creative problem-solving. I am now seeking roles that offer intellectual stimulation, alignment in values, and the opportunity to work closely with visionary leaders. With a versatile generalist mindset and a multidisciplinary background, I’m especially drawn to dynamic positions in Strategy & Growth, where I can bridge disciplines, bring clarity to complexity, and drive meaningful impact. Beyond my professional work, I embrace challenges that push my limits: solo backpacking across Southeast Asia, training for a half-marathon, cycling around Taiwan, and learning new calisthenics skills. These adventures and experiences fuel my resilience and adaptability, and provide me fresh perspectives in life.
Part of the teaching team of the course EAS 5240: Technology Ethics and the Legal Landscape, which is offered to students of the MAS-CS, MSE-DS, and MSE-AI programs. This course introduces students both to traditional concepts of engineering ethics as well as to the legal and policy background against which the ethics of engineering decisions are ultimately evaluated. Particular attention is paid to questions that arise in the context of new technologies such as artificial intelligence; case studies involving artificial intelligence and similar technology are considered throughout. Note: The Teaching and Learning Practicum (TLP) provides high-performing students the opportunity to gain additional skills in their field through practicing educational leadership and mentoring. The TLP program combines formal training with practical experience leading to a Teaching Practicum course on their transcript.
Open to opportunities in Singapore. Currently studying Master of Applied Science in Computer Science @ Penn Engineering.
(1) Worked on an award-winning predictive analytics project: Artificial Intelligence Incident and Risk Analytics (AIIRA). I improved existing machine learning models by reworking their logics to align with accurate business understanding and domain-specific knowledge, and optimised legacy code for efficiency and maintainability. Additionally, I deployed GenAI to provide the most relevant recommendations for AIIRA users. My main stakeholders in this project included those from the Performance & Strategy department of the PETRONAS Group Health, Safety, Security, and Environment (HSSE) division. (2) Continuously upskilled myself in data science and AI through training and online courses. Additionally, I collaborated with Microsoft to deliver customised upskilling programmes for the Data Science team. (3) Was selected to be a delegate at Energy Asia 2025 and participant at Leaders in Residence (LiR+) 2024.
(1) Worked with the Director of Finance to plan and execute a project on product market research & GTM strategy (2) Defined TAM/SAM/SOM segmented by geography and user profile using publicly available data and proprietary data (3) Identified market gaps and competitor strategy using Porter’s 5 Forces and Marketing 4P (4) Translated insights into product features, pricing tiers, marketing campaigns, and launch roadmap that enabled immediate decision making and actions by the founders and product team during the project presentation (5) Proposed KPIs across funnel stages to validate assumptions post-launch
Picked up some programming languages and built things with them.