Yanjun Qi
Amazon Scholar In Agentic AI Org Of AWS at Amazon Web Services (AWS)
Charlottesville, Virginia, United States
Summary
🤩
Rockstar🎓
Top SchoolYanjun Qi is a machine learning researcher and leader with two decades of experience spanning deep learning, NLP, reinforcement learning, responsible AI, and computational biology, currently shaping agentic and generative AI at AWS while holding a tenured associate professorship at the University of Virginia. She has driven production GenAI solutions and high-profile AWS RFP wins, led teams building Bedrock features like guardrails and model customization, and previously served as an NIH National Scholar and senior researcher at NEC Labs. An NSF CAREER and multiple best-paper award recipient with 100+ publications, she has graduated six Ph.D. students and mentored dozens more, combining rigorous academia with product-focused impact. Yanjun is also an active open-source contributor and documentation maintainer for influential projects such as TextAttack and SpacetimeFormer, improving accessibility for adversarial NLP and long-range transformer forecasting tools. Off-duty she reads widely—curating a public reading list—reflecting a curiosity-driven approach that informs her interdisciplinary research and applied AI product work.
11 years of coding experience
11 years of employment as a software developer
B.S. (graduation with the highest honors) , (and M.S. in the accelerated 1year program), computer science, B.S. (graduation with the highest honors) , (and M.S. in the accelerated 1year program), computer science at Tsinghua UniversityPh.D., Computer Science, Ph.D., Computer Science at Carnegie Mellon University
Github Skills (12)
api-documentation10
rs10
restructuredtext10
sphinx10
documentation10
read-the-docs10
jupyter-notebook9
nlp4
natural-language-processing4
adversarial-attacks3
machine-learning3
data-augmentation3
Programming languages (7)
Github contributions (5)
QData/TextAttack
Oct 2019 - Jul 2022
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
Role in this project:
Technical Writer
Technical WriterContributions:7 releases, 73 reviews, 345 commits in 2 years 9 months
Contributions summary:Yanjun's commits primarily focus on updating and reorganizing the documentation of the TextAttack library. They modified the installation guide, updated Colab links in the tutorials, and reorganized the documentation folder. The user also added API references and a FAQ page to enhance the library's documentation. These changes significantly improve the accessibility and usability of the TextAttack documentation.
pythonadversarial-machine-learningadversarialmodel-trainingtraining
QData/spacetimeformer
Sep 2021 - Dec 2021
Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."
Role in this project:Technical Writer
Technical WriterContributions:12 commits, 6 pushes, 1 branch in 3 months
Contributions summary:Yanjun primarily focused on enhancing the documentation for the `spacetimeformer` repository. Their commits added a `docs` folder, set up the necessary configuration for Read the Docs, and provided basic tutorials within Jupyter notebooks. They also updated the main documentation files, including the index and API references, and created a demo notebook showcasing basic usage.
pytorchforecastingtransformersefficient-transformersseries-forecasting
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