About Me
As a passionate first-year Engineering/Computer Science student, I am deeply immersed in the world of machine learning, full-stack development, and the exhilarating sport of road bike riding. My journey is driven by a desire to innovate and build, constantly seeking new challenges that push the boundaries of technology and personal growth. I thrive on solving complex problems and am always eager to learn new technologies and methodologies.
Projects & Competitions
Click on any project below to learn more details
Represented Monash internationally against 50 top university teams in the APAC region, I worked as the lead researcher on the AI side, optimising SGLang on 2 H200 Nodes.
Won first place at Australia's largest student hackathon with Growth Garden, an AI-powered tool for personal development and gamified self-improvement.
Built an interactive tool for visualizing MNIST handwriting models, featuring a 28x28 grid for real-time predictions and performance analysis.
Developing and training Neural Cellular Automata (NCA) models to generate complex patterns and explore emergent behavior in self-organizing systems.
A fun and addictive browser game where players categorize country flags based on different criteria. Built with React, Vite, and TypeScript.
A privacy-focused Chrome extension that remembers your exact scroll position on any page, allowing you to resume reading seamlessly.
A dynamic and responsive portfolio to showcase my projects and skills, built with Next.js and Tailwind CSS.
Experience
Feb 2025 - Present
- Developing and optimizing Neural Cellular Automata (NCA) models using PyTorch to simulate biological processes like embryogenesis.
- Educating students on AI fundamentals and their practical applications in academic and professional settings.
Jan 2025 - Present
- Engineered conversational AI agents for commercial clients, including "Scag Mechanic" and "IM Advisor," to enhance customer support.
- Designed and implemented knowledge-retrieval pipelines to help users troubleshoot issues and compare products.
Dec 2023 - Current
- Managed daily operations in a high-pressure environment, ensuring timely deliveries and exceptional customer service.
- Contributed to franchisee satisfaction and store profitability through efficient team coordination and problem-solving.
Education
Feb 2025 - Dec 2029
Grade: HD
In my first-year of a bachelor in Engineering and Computer Science(honours)
Jan 2019 - Dec 2024
Achieved top academic honors in Mathematical Methods, showcasing strong analytical and problem-solving abilities.
Jan 2023 - Nov 2024
Worked in small groups to rapidly prototype video games in Unity, training skills in idea development, Unity, and Programming in C#
Certificates
May 2022 - June 2022
Jan 2022 - June 2022
Feb 2024 - Feb 2025
Completed a rigorous specialization covering foundational machine learning concepts, algorithms, and practical applications, taught by industry leader Andrew Ng.
Feb 2025 - Feb 2025
Gained advanced skills in fine-tuning neural networks for optimal performance, including techniques for hyperparameter optimization and regularization to prevent overfitting.
Feb 2025 - Feb 2025
Learned systematic approaches to building and managing machine learning projects, from data collection and labeling to deployment and maintenance.