Yang Zhang
Machine Learning Engineer at LogicNow Limited
Greater Boston United States
Summary
👤
Senior🎓
Top SchoolYang Zhang is a Machine Learning Engineer with 13 years of experience applying research-grade electrical engineering and ML expertise to real-world problems from Greater Boston. He holds advanced training from Xi'an Jiaotong University and a Ph.D. in Electrical Engineering from Colorado State University, combining rigorous academic foundations with practical engineering. Yang contributes to prominent open-source ML tooling—most notably improving fastai's documentation and examples across vision, text, and collaborative filtering—to make complex models more accessible to practitioners. He maintains an active technical presence through a Medium blog, Kaggle profile, and GitHub, signaling continual hands-on experimentation and public reproducibility. Known for clarifying tricky tutorial code and polishing educational notebooks, he brings an educator’s attention to usability alongside model-building skills. Colleagues can expect a blend of deep technical rigor, clear communication, and a focus on making ML workflows easier to adopt.
12 years of coding experience
Ph.D., Electrical Engineering, Ph.D., Electrical Engineering at Colorado State UniversityElectrical Engineering, Electrical Engineering at Xi'an Jiaotong University
Chinese, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (9)
pytorch10
jupyter-notebook10
fastai10
machine-learning10
python10
computer-vision9
mask-rcnn7
faster-rcnn7
nlp6
Programming languages (7)
Github contributions (5)
fastai/fastai_dev
Oct 2018 - Oct 2018
fast.ai early development experiments
Role in this project:
ML Engineer
ML EngineerContributions:9 commits, 9 PRs in 9 days
Contributions summary:Yang primarily focused on updating and modifying documentation (Jupyter notebooks) related to the fastai library, specifically concerning its computer vision, text, and collaborative filtering modules. They updated examples, clarified usage, and adjusted code snippets within the documentation, suggesting an effort to improve clarity and usability of the library for machine learning tasks. These changes encompassed the `vision`, `text`, and `collab` modules, as well as introductory notebooks, and the `fastai` library.
pythondata-sciencemachine-learningfastainbdev
yang-zhang/code-data-science
Mar 2017 - Jun 2017
Contributions:84 commits, 70 pushes, 1 branch in 3 months
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