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Chancellor Day
Intern Robotics/Software Engineer specializing in autonomy, computer vision, and controls
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About
Robotics software engineer with a master’s focused in the field who has integrated a multi-sensor robotics fusion laser system (fault detection, PLC comms, PyTorch-based CV diagnostics, and an engineer-facing status front end) under NDA. Has ROS experience from the University of Michigan Autonomous Robotic Vehicle team using Nav2/SLAM Toolbox/Gmapping with RViz and ROS bag-driven debugging, plus Gazebo simulation work and upcoming drone path-planning optimization research.
Experience
Education
Key Strengths
- End-to-end integration of complex multi-sensor robotic systems (faulting, controls, UI)
- Unblocks development by simulating missing subsystem inputs to maintain timelines
- Methodical debugging using ROS bag analysis and hypothesis-driven testing
- Strong cross-team communication and creation of clear interface documentation
- Hands-on hardware fault diagnosis and vendor coordination for replacements
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