Danfeng Xu
Detroit Metropolitan Area United States
Summary
🤩
Rockstar🎓
Top SchoolDanfeng Xu is an automotive software and systems engineer with four years’ experience applying C++, Python and Matlab/Simulink to vehicle control, perception and powertrain validation. With graduate training in automotive engineering and a Udacity Self-Driving Car Nanodegree, she blends deep knowledge of computer vision, deep learning and sensor fusion with hands-on HIL benches and CAN-based integration. Her background spans powertrain testing and calibration through system-level integration of inverters, motors and control electronics, and she is comfortable with ROS, dSPACE/MicroAutoBox and industry tools like CANoe and Vehicle Spy. Danfeng pairs algorithmic skills (KF/EKF/UKF, particle filters, PID control) with practical vehicle E/E architecture and dynamics insight, enabling rapid root-cause diagnosis and performance validation. Notably, she moves smoothly between research-grade perception work and the realities of hardware-in-the-loop validation, making her effective at taking prototypes toward deployable automotive systems.
4 years of coding experience
Master's degree, Automotive Engineering, Master's degree, Automotive Engineering at Clemson UniversityNanodegree, Self-Driving Car Engineer, Nanodegree, Self-Driving Car Engineer at UdacityBachelor's degree, Safety Engineering, Bachelor's degree, Safety Engineering at University of Science and Technology Beijing
Github Skills (5)
asynchronous10
multimodal8
ai8
webserver2
graph2
Programming languages (4)
Github contributions (5)
puppygraph/puppygraph-getting-started
Aug 2024 - Mar 2026
Contributions:18 reviews, 30 PRs, 28 pushes in 1 year 7 months
puppygraph/puppygraph-python
Oct 2024 - Feb 2026
Contributions:3 reviews, 3 PRs, 3 pushes in 1 year 3 months
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