I'm Waiz!

A web developer, AI engineer, and data scientist with a passion for innovation, education, and cutting-edge technology.

I have a strong track record of building impactful software solutions and leveraging AI for meaningful change.

At Afterkelas, I am the Technical Lead, overseeing the development of the Afterkelas Management System—a platform that optimizes administrative workflows for tutors and students. I also tutor STEM subjects, having guided over 50 students in Physics, Mathematics, Computer Science, and ICT to academic excellence.

Alongside my role at Afterkelas, I work as a Research Officer at Universiti Tenaga Nasional (UNITEN), where I focus on integrating AI into e-MyRA, a Ministry of Higher Education platform. My research involves implementing large language models (LLMs) to enhance longitudinal reports and improve data pipelining.

At Fylix, I contribute as a Software Developer, playing a key role in developing the frontend and backend of ChatCommerce, an AI-driven e-commerce platform that enables store owners to integrate LLM-powered chatbots.

Previously, at TAJDID Corp, I developed a License Plate Recognition System using YOLOv8 optimized for NVIDIA Jetson Nano. I also built a social media crawler for sentiment analysis and designed TAJDIDlytics, a data visualization dashboard for stakeholders in MBI.

During my internship at PETRONAS, I served as a Business Analyst in Digital Strategy for the Gas Business, where I initiated a web-based innovation radar called BIG SONAR. This platform integrated LLMs to identify emerging digital innovations, securing RM500k in funding.

I hold a Computer Science degree from Universiti Malaya, specializing in Artificial Intelligence. My academic journey includes winning 1st place in the UMDAC Datathon 2023, UM Hackathon 2022 with AWS, and 3rd place in UM Hackathon 2021 with Microsoft Azure. I was also nominated for the Anugerah Projek Akademik Cemerlang (APAC) 2024.

Beyond my professional work, I am passionate about community engagement and knowledge-sharing, having conducted a Kaggle workshop to provide hands-on experience in data science to peers.