Quinlan Ferguson
About Quinlan Ferguson
Quinlan Ferguson is an AI Solution Engineer at Brillio, where he has worked since 2021. He has a background in software development and holds a Bachelor of Science degree in Engineering Physics from the University of Washington.
Work at Brillio
Quinlan Ferguson has been employed at Brillio as an AI Solution Engineer since 2021. In this role, he is responsible for developing and implementing AI solutions. His work focuses on enhancing the company's offerings in artificial intelligence and machine learning. Ferguson's position is based in Bellevue, Washington, where he has contributed to various projects over the past three years.
Previous Experience at Affirma
Before joining Brillio, Quinlan Ferguson worked at Affirma as a Software Developer II from 2019 to 2021. During his tenure, he was involved in software development projects that contributed to the company’s technological advancements. His experience at Affirma helped him build a strong foundation in software engineering.
Education and Expertise
Quinlan Ferguson earned a Bachelor of Science degree in Engineering Physics/Applied Physics from the University of Washington, completing his studies from 2013 to 2018. This educational background provided him with a solid understanding of physics principles and their applications in engineering, which supports his work in AI solutions.
Research Assistant Role
In 2018, Quinlan Ferguson served as a Research Assistant at the University of Washington College of Engineering for seven months. In this role, he contributed to research projects, gaining valuable experience in a collaborative academic environment. This position helped him develop skills in research methodologies and technical problem-solving.
Contributions at Semantic Machines
At Semantic Machines, Quinlan Ferguson serves as the primary point of contact for all metrics and visualization work requests. He has developed custom training data using proprietary computer languages and tools, which plays a crucial role in enhancing the performance of AI models. His contributions are integral to the company's focus on advancing AI technologies.