Ethan Walker

Ethan Walker

Software Engineer @ Techcyte

About Ethan Walker

Ethan Walker is a Software Engineer currently employed at Techcyte since 2022. He has a background in applied mathematics, having earned both a Bachelor's and Master's degree from Brigham Young University, where he also held various teaching and research positions.

Work at Techcyte

Ethan Walker currently serves as a Software Engineer at Techcyte, a position he has held since 2022. His role involves integrating advanced technologies to improve product offerings. He has focused on enhancing workflows through the application of machine learning techniques, specifically in the area of instance segmentation models.

Previous Experience at Brigham Young University

Ethan Walker has extensive experience at Brigham Young University, where he held multiple positions. He worked as a Graduate Teaching Assistant from 2020 to 2022, providing support in academic settings. He also served as a Project Supervisor from 2020 to 2021, overseeing various projects. Additionally, he was a Mathematics Research Assistant from 2019 to 2020, contributing to research initiatives.

Role at Society for Industrial and Applied Mathematics

From 2019 to 2020, Ethan Walker was the Chapter Vice President of Mentoring at the Society for Industrial and Applied Mathematics (SIAM). In this role, he focused on mentoring initiatives within the organization, contributing to the professional development of members in the Provo, Utah area.

Education and Expertise

Ethan Walker earned a Master's degree in Applied Mathematics from Brigham Young University, completing his studies from 2020 to 2022. Prior to that, he obtained a Bachelor's degree in Computational and Applied Mathematics from the same institution, studying from 2017 to 2020. His educational background provides a strong foundation for his work in software engineering and machine learning.

Technical Contributions

Ethan Walker has made significant technical contributions in his field. He developed infrastructure for deploying machine learning tools using AWS and Terraform, which enhances operational efficiency. He has also optimized product performance by experimenting with various object detection models, demonstrating his ability to apply theoretical knowledge to practical applications.

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