Nathan Aday is a Senior Software Engineer with five years of experience building full-stack systems for IoT, automation, and aerospace applications, currently leading development of cloud-connected thermal camera gateways for early fire detection. An Air Force Academy aerospace engineering alum now pursuing an MS in Computer Science at USC, he blends model-based systems thinking with hands-on work across backend APIs, embedded GUIs, PWAs, and real-time data visualization. His background includes designing image-processing pipelines using Python, OpenCV, and TensorFlow, and shipping resilient containerized deployments with strong uptime and anomaly detection. Comfortable working end-to-end—from sensor protocols like MQTT to intuitive front-end UX—he’s known for elegant designs that make complex telemetry actionable for operators.
5 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Southern California
Bachelor of Science - BS, Aerospace, Aeronautical and Astronautical Engineering, Bachelor of Science - BS, Aerospace, Aeronautical and Astronautical Engineering at United States Air Force Academy
Perform text detection in a variety of languages with your computer webcam using Google Tesseract OCR and OpenCV. This script achieves a real-time OCR effect via multi-threading.
Contributions:25 commits, 3 PRs, 23 pushes in 1 year 9 months
Contributions:2 PRs, 14 pushes, 2 branches in 3 years 9 months
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Nathan Aday - Senior Software Engineer at MoviTHERM