Zhenhai Zhu
Software Engineer at Google DeepMind
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolZhenhai Zhu is a software engineer with 8+ years building machine perception and language-understanding systems at Google Research and DeepMind, with earlier roles developing scalable numerical solvers and circuit simulation at NVIDIA, Cadence, and an EDA startup. He blends deep learning for image, video and multimodal understanding with strong foundations in numerical linear algebra, PDE/DAE solvers, and advanced graph algorithms—skills that surface in efficient transformer work and multimodal video description research. Comfortable moving between research and production, he has shipped high-performance sparse solvers and parallel simulation engines and contributed to knowledge-graph and question-answering projects on GitHub. Based in San Jose, he pairs PhD-level EECS training from MIT with hands-on engineering across computational electromagnetics, lithography, and model-order reduction, giving him an unusual cross-domain perspective. Colleagues rely on him to translate complex mathematical models into scalable, GPU-accelerated implementations that advance both academic and product goals.
8 years of coding experience
12 years of employment as a software developer
MS PhD EECS, MS PhD EECS at Massachusetts Institute of TechnologySoutheast University
Chinese, English
Github Skills (23)
ocr-recognition10
image-to-text10
optical-character-recognition8
tesseract8
evaluation7
text-detection7
openssh7
ocr7
ocr-python7
nlp6
evaluation-framework6
paddleocr6
transformer5
natural-language-processing5
deep-learning5
Programming languages (2)
Github contributions (5)
weizhixiaoyi/OCR
Jun 2018 - Jun 2020
图片文字信息提取
Contributions:16 commits, 1 PR, 8 pushes in 2 years
optical-character-recognitionpaddleocrocrocr-recognitionimage-to-text
weizhixiaoyi/Basic-Machine-Learning-Algorithms
Nov 2018 - Aug 2019
Contributions:10 commits, 7 pushes, 1 branch in 9 months
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