Zijian Zhang

Machine Learning Engineer II at SoundHound AI

Regensburg, Bavaria, Germany
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Summary

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Senior
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Top School
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.
code11 years of coding experience
job5 years of employment as a software developer
bookBachelor 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
bookDoctor of Philosophy - PhD, Interpretability of Machine Learning Models, Doctor of Philosophy - PhD, Interpretability of Machine Learning Models at Leibniz Universität Hannover
bookTangshan No.1 High School
languagesChinese, English, German
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Github Skills (85)

python10
scientific-computing10
scipy10
algorithms10
ctc9
testing9
facebook9
sequence9
nlp8
firefox8
api8
sequence-to-sequence8
embedded8
deep-learning8
machine-learning8

Programming languages (8)

TypeScriptC++CSSRustCGoJupyter NotebookPython

Github contributions (5)

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JoshuaGhost/w2v

Oct 2016 - Apr 2018

Contributions:167 pushes, 3 branches, 2 issues in 1 year 6 months
JoshuaGhost/expred

Jan 2020 - Apr 2021

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