Matt Stevens
About Matt Stevens
Matt Stevens is a Staff Software Engineer specializing in computer vision at Aurora Solar, with over a decade of experience in software engineering.
Company
Matt Stevens currently works at Aurora Solar, a company that specializes in software solutions for solar energy systems. Aurora Solar focuses on developing advanced technologies to streamline the design and deployment of solar power installations, leveraging AI and computer vision. Stevens has been with Aurora Solar since its early stages, contributing to its growth through various roles. He is presently a Staff Software Engineer in the Computer Vision department.
Title
Matt Stevens holds the title of Staff Software Engineer, Computer Vision at Aurora Solar. In this capacity, he is responsible for developing and refining computer vision models and algorithms. His work involves using large datasets and advanced AI techniques to improve modalities like roof modeling, which is crucial for solar panel installations.
Professional Background
Matt Stevens has a comprehensive professional background spanning over a decade in software engineering, with a marked specialization in computer vision. His career began as a Junior Software Engineer at Aurora Solar in 2014. He advanced to become a Computer Vision Engineer in 2016, and later, a Software Engineering Manager in 2020. He transitioned back to a technical role in 2023, reflecting his strong focus on the technical aspects of software and AI. Prior to Aurora Solar, he gained early industry exposure through a summer internship at Particulate Solid Research, Inc. (PSRI) in 2013.
Education and Expertise
Stevens holds a Bachelor of Science (B.S.) degree in Computer Science from Stanford University, having studied from 2012 to 2016. His academic background laid a strong foundation for his expertise in computer vision and AI. Throughout his career, he has honed his skills in developing and deploying AI and computer vision models, particularly focusing on improving roof modeling through the use of generative adversarial networks (GANs) and diffusion models. His work on Aurora AI simplifies roof design by leveraging roof images and LIDAR data.
Roles and Responsibilities
In his current role as Staff Software Engineer at Aurora Solar, Matt Stevens works on improving roof modeling using AI. He investigates the comparative efficacy of generative adversarial networks (GANs) versus diffusion models. Utilizing a dataset comprising hundreds of thousands of roof images, he trains models tailored for accuracy and efficiency. His contributions extend to the development of Aurora AI, a tool that simplifies the design of roofs integrated with solar panels by using advanced imaging and sensor data.