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
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.
Representing Monash University by optimizing NWChem and DeepSeek inference, with specialized training from NVIDIA, NCI, and NSCC experts.
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 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.
GitHub Contributions
Education
Feb 2025 - Dec 2029
Grade: HD
In my first year of a bachelor of computer science and engineering (honours)
Jan 2019 - Dec 2024
Achieved top academic honors in Mathematical Methods, showcasing strong analytical and problem-solving abilities.
Certificates
Jan 2023 - Nov 2024
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.