Summary
Colby Duke is a multidisciplinary software engineer and Georgia Tech computer science alum with a passion for computer vision, augmented reality, and wearable tech, blending technical depth with human-centered design. He currently drives neural simulation for end-to-end AI autonomous driving models at Applied Intuition, leveraging CV and ML to improve safety and performance. Earlier, he led three GT Ubiquitous Computing teams on PopSign, a mobile game teaching American Sign Language backed by Google’s Accessibility Research Team, demonstrating leadership in education-focused AR/mobile apps. His internships span Snap Inc. (CV models for smartglasses), The Home Depot (ARKit-based LiDAR mesh visualizations), and Uber (algorithmic cost modeling and microservices). A recognized researcher, he earned first place at ACM CHI 2021 for ML-based student research and has contributed to CV projects at JANUS Research Group, including night vision and water pump monitoring. Based in San Francisco, Colby stays engaged with Georgia Tech and the broader tech community, pursuing cross-disciplinary opportunities at the intersection of AI, AR, and HCI.
10 years of coding experience
2 years of employment as a software developer
Bachelors of Science Computer Science, Bachelors of Science Computer Science at Georgia Institute of Technology