Summary
Mohammad Saad is a Senior Software Engineer and Technical Lead based in the Greater Seattle Area with 9+ years delivering robotics-enabled solutions across AEC, automotive, drones, and healthcare. He currently leads deep-learning on point clouds, data pipelines, and vision inspection orchestration for Amazon Robotics, building scalable ML-enabled systems in production. His background spans sensor fusion, SLAM, and calibration for autonomous vehicles at Toyota Research Institute—work that increased vehicle availability from 50% to over 95%—and collision-avoidance flight software for drones at Iris Automation. Comfortable across C++, Python, cloud-native tooling, and embedded systems, he has a track record of driving performance and cost optimizations (including a 60x build speedup and $200K/year savings). Trained in robotics (MS, University of Michigan) with an EE/CS foundation from UIUC, he blends research-grade algorithms with pragmatic platform engineering to turn complex sensor data into reliable products.
10 years of coding experience