Hao Ding
Founding Engineer at Semaphor
Washington DC-Baltimore Area United States
Summary
👤
Senior🎓
Top SchoolHao Ding is a founding engineer and PhD candidate in Computational Science at Johns Hopkins, blending nine years of hands-on experience in computer vision, robotics, and applied research. He has translated academic rigor into industry impact through research internships at SenseTime and United Imaging Intelligence—publishing at ICCV and building practical tools like a prompt-based class-agnostic annotation system and a neural finite-state machine for surgical video understanding. With an MSE in Robotics from Johns Hopkins and a CS degree from Tsinghua, he moves comfortably between theoretical methods and production-oriented solutions. Based in the D.C.–Baltimore area, Hao is now channeling his research-driven approach into early-stage product development as a founding engineer, bringing uncommon depth in active learning and data-efficient annotation to fast-moving AI teams.
9 years of coding experience
Doctor of Philosophy, Computational Science, Doctor of Philosophy, Computational Science at Johns Hopkins Whiting School of EngineeringBachelor of Engineering, Computer Science, Bachelor of Engineering, Computer Science at Tsinghua University
Github Skills (47)
robot8
robotics7
moveit7
planning7
motion-planning6
scoring6
ros5
bounding5
simulation4
image-processing4
detection-model4
foreground4
calibration4
mask3
regression3
Programming languages (3)
Github contributions (5)
hding2455/mmdetection
Oct 2019 - Feb 2020
Open MMLab Detection Toolbox and Benchmark
Contributions:331 pushes, 3 branches in 4 months
benchmarktoolboxobject-detection
dh562231640/maskrcnn-benchmark
Aug 2019 - Oct 2019
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
Contributions:320 pushes, 1 branch in 2 months
pytorchdeep-learningobject-detectioncomputer-visionmodular
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