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Zach Shelby is a prominent figure in the Internet of Things (IoT) and embedded machine learning (TinyML) space. He is the Co-founder and CEO of Edge Impulse, the leading development platform for machine learning on edge devices. Zach has a deep background in embedded systems, networking, and software. Before Edge Impulse, he co-founded Sensinode, a pioneer in 6LoWPAN and CoAP software for low-power wireless devices, which was acquired by ARM in 2013. At ARM, he held several key positions, including Vice President of Marketing for the IoT Business Unit and later Vice President of Developers for the IoT Business Unit, where he was instrumental in shaping ARM's IoT strategy and ecosystem. Zach is a co-author of the book "6LoWPAN: The Wireless Embedded Internet" and has been a key contributor to various IoT standards. He is passionate about democratizing embedded ML and enabling developers to build smarter products.
Zach Shelby's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Leads Edge Impulse, a company at the forefront of enabling machine learning on microcontrollers and edge devices, making complex ML accessible to embedded developers worldwide and significantly growing its user base and industry partnerships.
Played a crucial role in the development, standardization, and evangelism of foundational IoT communication protocols like 6LoWPAN and CoAP, significantly impacting how low-power devices connect to the internet and enabling the growth of the IoT ecosystem.
Successfully co-founded and steered Sensinode, an innovative IoT software company focused on 6LoWPAN and CoAP technologies, leading to its strategic acquisition by ARM in 2013, validating its technological vision and market impact.
Held influential roles at ARM post-Sensinode acquisition, including VP of Marketing and VP of Developers for the IoT Business Unit, shaping ARM's IoT strategy, developer programs, and Mbed OS contributions.
Co-authored the influential book "6LoWPAN: The Wireless Embedded Internet" and is a frequent speaker at industry conferences, sharing insights and driving thought leadership in IoT and embedded Machine Learning.
University of Oulu - Year 1996
Michigan Technological University - Year 1995
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Edge Impulse is the leading development platform for machine learning on edge devices. It enables developers to create and deploy AI models for sensors, audio, and vision applications on microcontrollers and other resource-constrained hardware. Their platform simplifies the entire ML workflow, from data collection and model training to deployment and monitoring, making embedded ML accessible to a broader range of engineers and enterprises.
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