Summary
Dillon De Silva is a Graduate Machine Learning Engineer based in Sydney with a decade of engineering experience spanning ML research, software development, and medical device prototyping. He has delivered practical ML and data solutions in production—halving CPU inference time for LLM workloads, predicting emissions from ship movement data, and building data-efficient sampling algorithms for deep learning—while also shipping customer-facing web features and Agentic AI tooling. Dillon blends mechanical and neural engineering instincts with software craft, having led a wearable neonatal-monitor prototype and performed FEA-driven design changes in medical device internships. Equally comfortable in Python, React and CAD, he enjoys projects that combine computational efficiency with tangible impact, and outside work you’ll find him following motorsports, running long distances, or sharing coffee with family.
10 years of coding experience
3 years of employment as a software developer
The University of Sydney
Model Farms High School
NCSS (National Computer Science School)
UNSW Sydney