Travis Geis is a software engineer focused on designing AI-driven device experiences, currently embedded in Amazon’s Design for AI Systems after contributing to the Amazon AGI SF Lab. With 12 years of experience and MS and BS degrees from Stanford, he blends product engineering rigor with human-centered design to prototype AI features that prioritize user trust, privacy, and autonomy. He has startup and founding experience (Pastel Education) alongside roles at Adept and Qualia, giving him both product velocity and leadership chops. Travis favors AI that augments human capability while keeping people in control, and he routinely ships interactive prototypes that explore new UX paradigms for embedded devices. Based in Oakland, he brings a rare combination of academic training and hands-on product engineering to the intersection of devices and advanced models.
12 years of coding experience
3 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Stanford University
Open-source keyboard firmware for Atmel AVR and Arm USB families
Contributions:1 release, 7 commits, 1 PR in 1 year 1 month
firmwareavratmelusbatmel-avr
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