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 (12)
asynchronous10
json10
rest-api10
discovery10
api10
rest10
jax-rs10
restful-api9
architectures9
scalable9
swagger9
restful9
Programming languages (3)
Github contributions (5)
puppygraph/puppygraph-getting-started
Aug 2024 - Mar 2025
Contributions:10 reviews, 22 PRs, 15 pushes in 7 months
FreeMem17/puppygraph-getting-started
Oct 2024 - Mar 2025
Contributions:10 pushes, 10 branches in 4 months
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