Summary
Zehang Weng is an algorithm engineer specializing in computer vision and machine learning with eight years of experience bridging academic research and industry. Currently developing algorithms at Fingerprint Cards, he brings deep expertise from a PhD at KTH where he advanced data-driven robotic grasp synthesis, deformable object manipulation, and graph neural networks for dynamics prediction. His background spans biometric image processing, biomedical image dataset curation with generative models, and practical deep learning for image retrieval developed during research roles in China and Sweden. He has hands-on experience with simulation-driven workflows and generative models that translate well to production-facing biometric and robotic systems. As a teaching assistant for core ML and CV courses, he also communicates complex concepts clearly to students and collaborators. Based in Stockholm, Zehang combines rigorous research instincts with applied engineering to tackle hard perception and manipulation problems.
8 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Electrical, Electronic and Communications Engineering Technology/Technician, Bachelor's degree, Electrical, Electronic and Communications Engineering Technology/Technician at Jinan University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at KTH Royal Institute of Technology
Exchange student, bachelor, Electrical, Electronics and Communications Engineering, Exchange student, bachelor, Electrical, Electronics and Communications Engineering at Universidad de Alcalá
English, Chinese, Spanish, Chinese