Experiences

Research & Academics

I am an Engineering Science student with a strong foundation in physics, mathematics, and machine learning. My research experience spans top-tier academic labs, where I’ve worked on generative models, diffusion-based systems, and applied AI for visual and multimodal tasks.

I’ve been awarded competitive research funding (including ESROP) and have contributed to projects involving deep learning architectures, model training pipelines, and experimental evaluation.

Technical Experience

• Deep learning with PyTorch and Hugging Face Diffusers
• Generative models: diffusion, autoregressive, and VAEs
• Python, data pipelines, and experimental ML workflows
• Signal processing and systems-level analysis

Leadership & Teaching

Beyond research, I’ve taken on leadership and mentorship roles through design teams, tutoring, and academic support. As a national scholarship holder and experienced tutor, I enjoy helping students navigate both technical material and the broader challenges of university life.

I value creating supportive, human-centered environments where learning feels collaborative rather than isolating.

Creative Practice

Alongside my technical work, I maintain an active creative practice in visual art and music. I see creativity and engineering as deeply connected: both are about exploration, iteration, and building meaning from complex systems.