Ziqing Yang
Volunteer Back End Developer at FightPandemics
Beijing, China
Summary
🤩
Rockstar🎓
Top SchoolZiqing Yang is a full-stack developer with 10 years of experience who blends backend engineering, data-driven product work and volunteer-driven impact projects. Based in Beijing, Ziqing has applied Python, MySQL, JavaScript and Java to production systems—from building book-selection pipelines that filtered thousands from 100,000 titles to contributing backend and DevOps fixes to an open-source PyTorch knowledge-distillation toolkit. Currently volunteering as a Back End Developer at FightPandemics, he focuses on pragmatic solutions that help communities during crises and is building an app to help people stock daily necessities. His scientific training and early lab work introduced him to bioinformatics tools and R, a background that shows through careful data handling and reproducible practices. Driven by a maker’s mindset—“what I cannot create, I do not understand”—he pairs curiosity with production experience to deliver useful, well-tested features.
10 years of coding experience
4 years of employment as a software developer
Nano Degree, Full Stack Web Developer, Nano Degree, Full Stack Web Developer at UdacityBachelor's degree, Biomedical Sciences, General, 2:1, Bachelor's degree, Biomedical Sciences, General, 2:1 at The University of Sheffield
Chinese, cantoness, English
Github Skills (9)
pytorch10
distill10
nlp10
deep-learning10
dis10
python10
bert9
computer-engineering9
documentation8
Programming languages (3)
Github contributions (5)
airaria/TextBrewer
Mar 2020 - Jul 2022
A PyTorch-based knowledge distillation toolkit for natural language processing
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:7 releases, 1 review, 146 commits in 2 years 5 months
Contributions summary:Ziqing made updates and bug fixes to the `textbrewer` project, primarily focusing on the `distillation.py` file. These changes included improvements to training loops, checkpointing, and potentially integrating tensorboard logging. The commits also addressed URL updates and fixes within `setup.py` and the addition of an example for CoNLL2003 English NER, indicating contributions to both the core functionalities and project setup.
nlppytorchdistillationknowledge-distillationbert
airaria/TextPruner
Jul 2021 - Jan 2023
A PyTorch-based model pruning toolkit for pre-trained language models
Contributions:4 releases, 30 commits, 3 PRs in 1 year 6 months
pytorchmodel-basednlppre-trained-language-modelsword-embeddings
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