Ryan Kuester
Principal Embedded Linux Engineer at Insymbols
Chicago, Illinois, United States
Summary
🤩
Rockstar🎓
Top SchoolRyan Kuester is a Principal Embedded Linux Engineer with 16 years of hands-on experience building and optimizing software for resource-constrained devices from his base in Chicago. He leads embedded Linux initiatives at Insymbols, combining deep low-level systems expertise with practical product delivery. An active contributor to TensorFlow Lite Micro, Ryan has helped port and optimize core ML operators—like SPACE_TO_DEPTH—demonstrating a specialty in bringing machine learning inference to microcontrollers. Colleagues rely on him to bridge firmware, kernel, and ML inference stacks, and he has a track record of improving test infrastructure to make embedded deployments more reliable.
16 years of coding experience
University of Illinois Urbana-Champaign
Github Skills (8)
embedded10
tensorflow-lite10
sys10
cprogramming-language9
machine-learning9
c-language9
unit-testing8
model-optimization8
Programming languages (11)
Github contributions (5)
tensorflow/tflite-micro
Jun 2021 - Jan 2023
Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets (including microcontrollers and digital signal processors).
Role in this project:
ML Engineer
ML EngineerContributions:57 reviews, 7 commits, 117 PRs in 1 year 7 months
Contributions summary:Ryan contributed to the implementation and porting of the SPACE_TO_DEPTH operator, a core component for machine learning model deployment on resource-constrained embedded targets. Their work involved syncing reference implementations, removing lite-specific code, and integrating the operator into the micro framework, along with corresponding unit tests. The user's commits show a focus on adapting and optimizing TensorFlow Lite operations for microcontrollers, as well as adding testing. The user also made contributions that improved the test setup of the project.
embeddedmicrocontrollermlmodel
pragmatux/multistrap
Apr 2012 - Oct 2017
Contributions:4 commits, 1 push, 1 tag in 5 years 6 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.