Monica Houston is an AI/ML engineering leader with 12 years of experience building hardware-oriented machine learning solutions and developer programs. Currently managing a cross-disciplinary AI/ML team at Tria, she guides hardware and software teams to showcase partners' silicon through deployable ML applications. Previously she enabled end-to-end ML workflows for Avnet’s MaaXBoard and ran global hands-on hardware workshops at Hackster.io, blending community education with partner-driven product demos. Based in Seattle, she pairs an MS in Computer Science from University of Washington with a background in film and international studies, which gives her a rare mix of technical depth and creative communication. Colleagues know her for making hardware hacking and IoT approachable while driving pragmatic paths from data collection to optimized on-device inference.
11 years of coding experience
6 years of employment as a software developer
Master of Science - MS Computer Science and Engineering, Master of Science - MS Computer Science and Engineering at University of Washington
B.A. Film and Video French International Studies, B.A. Film and Video French International Studies at Penn State University
Contributions:1 push, 1 branch in 4 years 7 months
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