Seth Adams

Seth Adams has had extensive work experience in the field of machine learning and computer vision. Seth worked as a Senior Software Engineer at Super Hi-Fi, specializing in horizontal scaling of audio processing for automated mixing and mastering of music. Prior to that, they were a Software Engineer at SEER, where they focused on facial recognition, automated scene detection in videos, and object recognition. Seth also worked as a Data Scientist at BLACKBIRD.AI, where they researched and developed image similarity methods and neural networks for image tampering detection. Seth gained experience in computer vision and machine learning algorithms during their time as a Data Scientist at Cardinal Mechatronics, where they worked on CO2 respiration measurement and infant withdrawal syndrome detection. Additionally, Seth had internship positions as an Automation Engineer at Mechatronics Lab at Virginia Tech and a Product Development Intern at Cardinal Mechatronics, where they gained experience in robot redesigning and apparatus development.

Seth Adams attended the Virginia Tech College of Engineering from 2012 to 2016, where they pursued a Bachelor of Science degree in Mechanical Engineering.