Zijian Zhang is a Machine Learning Engineer II based in Regensburg, Germany with 11 years of experience focused on deep learning for language tasks and model interpretability. He holds a PhD from Leibniz Universität Hannover where he developed and implemented algorithms to make black-box models more transparent, and he has taught multiple deep learning courses there. Currently at SoundHound AI, he brings a research-first mindset to production ML, having recently supported CTO-level data engineering and process optimization at Novo AI. Zijian combines academic rigor with practical deployment experience—bridging interpretability research and real-world ML pipelines. Colleagues describe him as a collaborative, high-work-ethic researcher who pursues clearer, more trustworthy models rather than just squeezing out performance gains.
11 years of coding experience
5 years of employment as a software developer
Bachelor of Technology (B.Tech.), Computer and Information Systems Security/Information Assurance, Bachelor of Technology (B.Tech.), Computer and Information Systems Security/Information Assurance at Xidian University
Doctor of Philosophy - PhD, Interpretability of Machine Learning Models, Doctor of Philosophy - PhD, Interpretability of Machine Learning Models at Leibniz Universität Hannover
Contributions:54 commits, 4 PRs, 13 pushes in 1 year 3 months
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Zijian Zhang - Machine Learning Engineer II at SoundHound AI