Ziyang Z.

Ziyang Z. is a Machine Learning Engineer at Liebherr Group, focusing on real-time sensor data processing from mining trucks and implementing deep learning techniques for signal detection. Previously, Ziyang served as a Machine Learning Research Scientist at Peraton Labs, working on device text steganography with GPT models, and briefly held a similar position at Meta before an offer was revoked. Ziyang's academic background includes a PhD in Mechanical Engineering from the University of Central Florida, alongside a Master's degree in Electrical Engineering from Columbia University and a Bachelor's degree in Electrical Engineering from Xi'an Jiaotong University. During the tenure at the University of Central Florida, Ziyang published 13 research papers and developed a transfer learning framework for simulating stress-strain curves in advanced materials. Additional experience includes a software engineering internship at Qorvo, Inc. responsible for semiconductor manufacturing software development and maintenance.