Evan Juras
Computer Vision Engineer at EJ Technology Consultants
Bozeman, Montana, United States
Summary
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Rockstar🎓
Top SchoolEvan Juras is a computer vision engineer and founder with nine years of experience building embedded ML systems and end-to-end vision applications. He blends a rigorous hardware background—analog and mixed-signal design, EMC compliance, and PCB layout—with hands-on Python and C++ development to ship production-ready solutions from edge devices to cloud-adjacent systems. As founder of EJ Technology Consultants he has designed camera selection and system architecture for real-world projects including card-tracking gaming tables and field-deployed risk-mitigation cameras, and he selects and trains lightweight detection models for constrained processors. His open-source work and tutorials on TensorFlow and TensorFlow Lite demonstrate practical expertise in model quantization, Edge TPU support, and Raspberry Pi/Android deployment, helping others bridge research to applied products. Based in Bozeman, Montana, he pairs technical leadership and mentoring with business-building experience, and maintains an active public portfolio and popular electronics YouTube channel that reflect a knack for clear technical communication.
9 years of coding experience
8 years of employment as a software developer
Bachelor’s Degree, Electrical, Electronics and Communications Engineering, GPA: 3.97 / 4.0, Bachelor’s Degree, Electrical, Electronics and Communications Engineering, GPA: 3.97 / 4.0 at Montana Tech of the University of MontanaMaster’s Degree, Electrical, Electronics and Communications Engineering, GPA: 3.73 / 4.0, Master’s Degree, Electrical, Electronics and Communications Engineering, GPA: 3.73 / 4.0 at Washington State University
Stackoverflow
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Github Skills (13)
object-detection10
computer-vision10
machine-learning10
opencv10
tensorflow-lite10
raspberry-pi10
tensorflow10
python10
image-processing10
quants9
quantization9
deep-learning8
github3
Programming languages (7)
Github contributions (5)
EdjeElectronics/TensorFlow-Object-Detection-on-the-Raspberry-Pi
Jun 2018 - Nov 2019
A tutorial showing how to set up TensorFlow's Object Detection API on the Raspberry Pi
Role in this project:
ML Engineer
ML EngineerContributions:60 commits, 5 PRs, 57 pushes in 1 year 5 months
Contributions summary:Evan primarily focused on implementing and refining an object detection system using TensorFlow on a Raspberry Pi, as suggested by the repository description. Their contributions involved writing a Picamera object detection script, modifying the score threshold for object detection, and creating a "pet detector" application. These changes demonstrate their work in applying machine learning models, specifically computer vision, to a real-world problem within the repository's context.
object-detection-apiraspberry-pitensorflow
EdjeElectronics/TensorFlow-Object-Detection-API-Tutorial-Train-Multiple-Objects-Windows-10
Feb 2018 - Dec 2020
How to train a TensorFlow Object Detection Classifier for multiple object detection on Windows
Role in this project:ML Engineer
ML EngineerContributions:135 commits, 16 PRs, 130 pushes in 2 years 10 months
Contributions summary:Evan focused on developing and modifying object detection models within the TensorFlow framework. They contributed to multiple Python scripts related to object detection, including image and video processing implementations. The user made adjustments to the model's performance by tuning parameters like the `min_score_thresh`. Furthermore, the user added compatibility for TF2.
classifierobject-detectiontensorflowwindows
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