Summary
Markham Anderson is a software engineering technical lead with 13 years of experience building and scaling full-stack applications, currently shaping the third-largest Rails app at Cisco Meraki. He combines hands-on expertise in Ruby on Rails and React with a strong research background in deep learning and computer vision from UC Davis, where he developed PyTorch and TensorFlow models to fuse first- and third-person visual data and infer unseen poses. Markham has led teams and IT departments, introduced CI/CD and automated testing practices, and managed enterprise projects end-to-end while also maintaining servers and relational databases. His academically rooted tinkering produced a real-time, eight-channel mobile hearing aid research platform, demonstrating uncommon cross-disciplinary fluency between systems engineering and assistive-sensor research. Based in Davis, California, he balances production-grade engineering with active reading of new publications to keep lab work both performant and scalable. Outside work he’s an All-American barebow archer, a detail that hints at the focus and precision he brings to technical leadership.
13 years of coding experience
8 years of employment as a software developer
Master of Science (M.S.), Computer Science, Master of Science (M.S.), Computer Science at University of California, Davis
BA, Linguistics, BA, Linguistics at Brigham Young University
English, spansh, Japanese