Nathan Meyer
Embedded Systems Engineer at DornerWorks Ltd.
Zeeland, Michigan, United States
Summary
🤩
Rockstar🎓
Top SchoolNathan Meyer is an Embedded Systems Engineer with six years of hands-on experience building production-grade firmware and system integrations from Zeeland, Michigan. At DornerWorks he focuses on low-level system design and hardware-accelerated inference, bringing embedded engineering rigor to complex real-time problems. An active contributor to the popular Frigate NVR project, he extended detector support across CPU, EdgeTPU, OpenVINO, and TensorRT, demonstrating practical expertise in model loading, input transformations, and accelerator integration. Nathan combines an electrical/computer engineering background from Calvin College with pragmatic software craftsmanship, often bridging the gap between ML model requirements and constrained embedded platforms. He’s particularly skilled at adapting cutting-edge inference stacks to run reliably on embedded hardware, a capability that’s not obvious from a title alone.
6 years of coding experience
Bachelor of Science, Engineering, Computer/Electrical Concentration, Bachelor of Science, Engineering, Computer/Electrical Concentration at Calvin College
Github Skills (8)
tensorrt10
object-detection10
computer-vision10
machine-learning10
tensorflow10
python10
ai10
openvino9
Programming languages (5)
Github contributions (5)
blakeblackshear/frigate
Nov 2022 - Jan 2023
NVR with realtime local object detection for IP cameras
Role in this project:
ML Engineer
ML EngineerContributions:44 reviews, 8 commits, 16 PRs in 2 months
Contributions summary:Nathan made significant contributions to integrating and supporting various object detection models within the Frigate NVR system. They refactored and extended the system to support different detector types, including CPU, EdgeTPU, OpenVINO, and TensorRT, showing expertise in model loading, inference, and integration. Furthermore, the user implemented configuration options and testing, focusing on model input transformations and integration with hardware accelerators like the EdgeTPU and GPU. The user also made updates to add OpenVino and Nvidia TensorRT detectors.
realtimecameramqtthome-automationobject-detection
NateMeyer/libtslitex
Apr 2024 - Feb 2025
Contributions:4 PRs, 102 pushes, 43 branches in 10 months
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