Yu Zhao is a PhD candidate at KTH and an experienced software engineer with eight years of industry and research experience, currently contributing to Klarna's debt collection backend while pursuing research in remote sensing and computer vision for wildfire monitoring. He blends production-grade backend development with hands-on machine learning and embedded systems expertise, having built convolutional autoencoders, custom loss functions, and optimized GPU-parallel algorithms. His background spans academia and industry—from Huawei and Eindhoven to UCLA and Zhejiang University—reflecting strong skills in systems performance, ML model engineering, and signal-processing datasets. Notably, he pairs practical product delivery at a fintech scale with PhD-level research, meaning he can translate cutting-edge sensing research into deployable software components. Based in Stockholm, he brings a cross-disciplinary perspective useful for applied ML, real-time embedded sensing, and robust backend systems.
8 years of coding experience
2 years of employment as a software developer
Phd Candidate, Remote Sensing & Computer vision, Phd Candidate, Remote Sensing & Computer vision at Royal Institute of Technology
KTH Royal Institute of Technology
Master's Degree, Embedded System, 8/10, Master's Degree, Embedded System, 8/10 at Technology University Eindhoven
本科, 电气工程及其自动化, 3.74/4, 本科, 电气工程及其自动化, 3.74/4 at 浙江大学
summer school, N/A, summer school, N/A at University of California, Los Angeles
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