Trevor Howarth
About Trevor Howarth
Trevor Howarth is a Machine Learning Engineer with a strong background in physics and electrical engineering, having studied at Stanford University. He currently leads NLP initiatives at Scale AI, focusing on integrating large language models into federal applications.
Work at ScaleAI
Trevor Howarth currently serves as a Machine Learning Engineer at Scale AI, a position he has held since 2022. In this role, he leads Natural Language Processing (NLP) initiatives on the Scale Federal team. His work focuses on integrating large language models into applications for the federal government. This position builds on his extensive background in machine learning and software development.
Education and Expertise
Trevor Howarth studied at Stanford University, where he earned a Bachelor's degree in Physics from 2013 to 2017 and a Master's degree in Electrical and Electronics Engineering from 2017 to 2018. His educational background provides a solid foundation in mathematics, which enhances his machine learning capabilities. He has four years of experience in software development and research, particularly in Python and C++.
Background
Trevor Howarth has a diverse professional background that includes roles in research and engineering. He began his career as a Physics Research Intern at NC State University in 2013 and later at Stanford University in 2015. He worked as a Research Engineer at DITTO from 2019 to 2021 and then as a Senior Research Engineer at Luna Solutions for seven months in 2021-2022 before joining Scale AI.
Achievements
At Scale AI, Trevor Howarth specializes in prototyping and algorithmic design, focusing on creating robust and useful products. His leadership in NLP initiatives demonstrates his ability to apply machine learning techniques to real-world problems, particularly in the context of federal government applications. His experience across various organizations highlights his commitment to advancing technology in the field.