Summary
Dylan Lynton is a Machine Learning Engineer based in Melbourne with 11 years of practical experience applying data science and software skills across climate science, education technology, and small business operations. Currently building ML capabilities at Amber Electric, he previously delivered modeling and data solutions for CSIRO's atmospheric chemistry teams, bridging research-grade science and production analytics. He combines an AI-specialized Master's from the University of Melbourne with a background in music and education, which informs a collaborative, creative approach to problem solving and stakeholder communication. Dylan has hands-on experience deploying tech in real-world settings—from integrating VR in schools to operational support roles—and is comfortable translating complex models into usable tools. Colleagues would note his blend of research rigour, applied engineering, and a knack for making technical work accessible to non-experts.
11 years of coding experience
1 year of employment as a software developer
Billanook College
Bachelor of Music (Jazz and Improvisation), Music, Bachelor of Music (Jazz and Improvisation), Music at Victorian College of the Arts
The University of Melbourne