Summary
Tanner Gaskin is an embedded software engineer with eight years of experience building firmware and systems that bridge custom hardware and AI, currently developing embedded firmware for custom silicon AI accelerators at Meta for next‑generation AR glasses. He has significant cloud and hardware experience from multiple roles at Amazon and AWS—working on FPGA-accelerated caches, petabyte-scale Redshift storage, Project Kuiper flight software, and Alexa conversational AI—bringing deep expertise in real-time, reliability-critical systems. A lifelong tinkerer and former freelance consultant, Tanner combines embedded Linux, RTOS, ARM development, and low-power IoT design with practical production debugging of multi-threaded, distributed systems. He’s pursuing an MS in Electrical and Computer Engineering at BYU, and is driven by responsibly scaling AI from cloud backends down to edge devices, often focusing on the “messy middle” where hardware, firmware, and models intersect.
8 years of coding experience
8 years of employment as a software developer
Associate of Arts and Sciences - AAS, Engineering, Associate of Arts and Sciences - AAS, Engineering at Everett Community College
High School Diploma, High School Diploma at Arlington High School
Master of Science - MS, Electrical and Computer Engineering, Master of Science - MS, Electrical and Computer Engineering at Brigham Young University