Summary
David Michelman is a software engineer with a decade of experience building scalable monitoring and robotics systems, currently contributing to Amazon after impactful roles at Microsoft. He has hands-on expertise in Kubernetes observability, Prometheus collectors for heterogeneous architectures, and re-architecting telemetry pipelines to improve reliability and scale. Earlier work blends robotics and machine learning—developing ROS stacks, simulation-based workflows, and a high-performance CNN for pixel-level lane segmentation used in competition-winning autonomous rovers. David also has a background in low-level systems and build engineering, migrating heterogeneous C++/GPU codebases and stabilizing CI on AWS. Comfortable across cloud-native production services and embedded/robotics stacks, he brings a pragmatic mix of research-driven ML experimentation and production-grade instrumentation. A detail that stands out: he created Gazebo-based drop-in simulators to accelerate hardware-free development and debugging, shortening iteration cycles for robotics teams.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, Computer Science and Computational Mathematics, Bachelor of Science - BS, Computer Science and Computational Mathematics at Rensselaer Polytechnic Institute