Angus Collett

Graduate Software Engineer @ Diamond Light Source

About Angus Collett

Angus Collett is a Graduate Software Engineer at Diamond Light Source, specializing in machine learning. He holds a Bachelor's degree in Physics and a Master's degree in Machine Learning from Royal Holloway, University of London.

Work at Diamond Light Source

Angus Collett has been employed as a Graduate Software Engineer at Diamond Light Source since 2020. His role is based at the Harwell Campus in England, United Kingdom. In this position, he applies his programming skills and knowledge of machine learning to contribute to various projects within the organization. His experience at Diamond Light Source allows him to engage with advanced technology and collaborate with other professionals in the field.

Education and Expertise

Angus Collett completed his Bachelor's degree in Physics at Royal Holloway, University of London from 2015 to 2019. He furthered his education by obtaining a Master's degree in Machine Learning from the same institution, which he completed in 2020. His academic background provides him with a strong foundation in both mathematics and programming, which he leverages in his current role and aims to build upon as he pursues expertise in machine learning engineering.

Background

Before joining Diamond Light Source, Angus Collett gained practical experience through a programming internship at BlueOptima in 2018, where he worked for two months in London, England. This internship helped him develop his programming skills and provided insight into the software engineering field. His undergraduate studies sparked a keen interest in directing computer resources, leading him to focus on machine learning in his further education.

Aspirations in Machine Learning

Angus Collett aspires to gain real-world experience in building and maintaining machine learning pipelines. His long-term goal is to achieve expertise in machine learning engineering. This ambition drives his current work and educational pursuits, as he seeks to apply theoretical knowledge to practical applications in the field of machine learning.

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