About Me

I am a researcher and engineer with experience in machine learning, wireless network optimization, and classical optimization techniques. Currently pursuing a PhD at the University of Melbourne, my work focuses on AI-driven resource allocation and 5G network planning, where I apply methods like geometric deep learning and computer vision to tackle practical challenges.

I am particularly interested in developing efficient deep learning models that require minimal labeled data and human input, with the goal of making machine learning more accessible and effective. With a background in software engineering across both backend and frontend technologies, I’ve had the opportunity to engage in the full lifecycle of model development, from research and experimentation to deployment.

Outside of my research, I enjoy tutoring and collaborating with multidisciplinary teams, which has helped me improve my communication skills and learn from others. I’m always eager to explore new ideas and work with diverse teams to contribute to meaningful, scalable solutions.