Andy Soundy is a Senior Vision Systems Engineer with nine years’ experience building robust computer vision solutions for industrial robotics at Scott Technology. He designs, trains and commissions systems that handle diverse sensor inputs—from standard GigE color cameras to 3D linescan and linear x‑ray detectors—using C++, Python, OpenCV, Halcon, Keras and TensorFlow. Comfortable across hardware and software, he bridges low-level embedded/IoT work (ESP32 drivers and connectivity demos) with high‑level ML models to enable robots to cope with widely varying products. His background in physics and a submitted Master’s in electronics informs a pragmatic, measurement-driven approach to vision problems and rapid prototyping. Colleagues rely on him for translating research-grade algorithms into reliable factory-deployable systems.
9 years of coding experience
4 years of employment as a software developer
Master’s Degree, Electronics, (Submitted), Master’s Degree, Electronics, (Submitted) at University of Otago
🍬 Code samples from the nanoFramework team used in testing, proof of concepts and other explorational endeavours
Role in this project:
Embedded Systems Engineer / IoT Developer
Contributions:7 reviews, 31 commits, 49 PRs in 4 years 2 months
Contributions summary:Andy contributed several code samples related to the nanoFramework, focusing on various embedded systems and IoT functionalities. These samples cover diverse areas, including ESP32-specific hardware features such as sleep modes, WiFi scanning, and GPIO control. They also implemented device driver for SR04 ultrasonic sensor utilizing RMT (Remote Control Transmission) on ESP32 and added a Bluetooth serial port profile and WiFi AP with webserver. The user's work demonstrates a strong understanding of low-level hardware interaction and integrating embedded systems with connectivity features.
Contributions:6 pushes, 13 branches in 6 years 6 months
stm32nimbleclass-libraryespressifnanoframework
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Andy Soundy - Senior Vision Systems Engineer at SCOTT