Summary
Joshua Field is a software engineer specializing in robotics, computer vision, and machine learning, pursuing a combined BS/MS in Computer Engineering at Northeastern University. With eight years of hands-on experience spanning Amazon Robotics, Humatics, and Caltech, he has delivered production ML vision systems, AWS-integrated pipelines, and autonomy path-planning software for real-world robotic workcells and UAVs. He combines embedded systems work (Arduino/Raspberry Pi sensor networks) with cloud-native monitoring and inference (SageMaker, GreengrassV2, Lambda, CloudWatch), enabling end-to-end solutions from sensors to scalable deployment. Notably, he built predictive maintenance and anomaly-detection models tied to a mobile monitoring app, showing a knack for turning research into operational products. Based in Boston, he brings a pragmatic engineer’s approach to bridging algorithms and systems engineering in robotics applications.
8 years of coding experience
3 years of employment as a software developer
BS & MS, Computer Engineering, BS & MS, Computer Engineering at Northeastern University