Henry Gridley is a software engineer specializing in computer vision and machine learning with a decade of industry experience and a focus on perception and planning for autonomous systems. He has applied C++, Python, ROS, and ML tooling across roles at Apple, Berkshire Grey, and Spark Insights, building production data pipelines, deep learning training infrastructure, and large-scale geo-enabled databases. His background includes hands-on robotics work from internships at Intel, iRobot, and MORSE Corp, where he developed tracking, SLAM-related test systems, and ROS2 middleware integrations. Henry bridges research-grade algorithms and production deployment—evident in his use of MLflow, DVC, Airflow, and PostGIS to move models from training to real-time services. Based in San Diego and trained at Northeastern and Udacity’s Self-Driving Car program, he combines academic grounding with practical system design for autonomous vehicles and robotics. An under-the-radar strength is his end-to-end proficiency in both embedded robot software and scalable backend infra, enabling faster iteration from sensor to decision.
10 years of coding experience
3 years of employment as a software developer
Self-Driving Car Nanodegree, Computer Science, Self-Driving Car Nanodegree, Computer Science at Udacity
Electrical and Computer Engineering, Electrical and Computer Engineering at Northeastern University
International Baccalaureate diploma, Physics, International Baccalaureate diploma, Physics at Wichita High School East
Contributions:131 commits, 130 pushes, 1 branch in 9 months
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