Meet Me
I’m a final-year student at City University of Malaysia, pursuing an undergraduate degree in Computer Science with Honours in Software Engineering. I am passionate about deepening my expertise through a PhD program, focusing on innovative machine learning applications.
Currently, I am interning at Gridicity, where I am involved in developing machine learning models that leverage techniques such as moving averages, exponential smoothing, and ARIMA to predict hourly energy prices in the UK, providing forecasts for up to a year. I evaluate model accuracy using metrics like MAPE and RMSE. Additionally, I architect and deploy robust optimization APIs with containerization for cloud deployment on AWS ECS using Fargate, ensuring scalable infrastructure and seamless integration of optimization functionality.
Outside of this role, I am developing full-stack multi-vendor mobile marketplace applications, featuring AI-powered search engines and recommendation systems that analyze user behavior to enhance personalization and improve engagement.
My research interests span AI, machine learning, computer vision, cyber-physical systems, quantum computing, NLP, and robotics.
I am actively seeking research opportunities in these areas.
Languages
My favorite languages for software engineering and machine learning.
ML F/W & L
My Go-To Frameworks and Librarys for Designing, Developing, Training, and Deploying ML Models
Full Stack
My preferred technologies for full stack web programming and database architecture.
Go-To Tools
My favorite tools for version control, code editing, and container orchestration.
