Zesen Wang is a PhD candidate at KTH with eight years of experience in machine learning, deep learning, and NLP, focusing on efficient and robust distributed training of deep neural networks. His industry background includes ASR research roles at Cerence and a developer stint at Ericsson, giving him strong experience translating research into production systems. He completed a master's in Machine Learning at KTH after an Electrical and Computer Engineering bachelor's from Shanghai Jiao Tong University. Known for self-motivated, independent learning, he has explored GANs for text summarization during his master’s thesis and applied ASR expertise in commercial voice products. Based in Solna, Sweden, he blends academic rigor with practical engineering to optimize large-scale model training and deployment.
8 years of coding experience
3 years of employment as a software developer
Master's degree, Machine Learning, Master's degree, Machine Learning at KTH Royal Institute of Technology
Bachelor's degree, Electrical and Computer Engineering, 3.4/4, Bachelor's degree, Electrical and Computer Engineering, 3.4/4 at Shanghai Jiao Tong University
Contributions:33 commits, 29 pushes, 1 branch in 24 days
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Zesen Wang - PhD Student at KTH Royal Institute of Technology