Qi Zhu
AI ML Engineering at Stealth Startup
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolQi Zhu is an AI/ML engineering leader with 11 years of experience building large-scale distributed systems and production ML infrastructure across companies from Google and Airbnb to Waymo, Nuro, and Apple. He blends hands-on backend and model work—evidenced by substantive contributions to dialogue system toolkits like ConvLab-2 and CrossWOZ—with product and team leadership as a former engineering manager and recent startup co-founder. Comfortable spanning systems, simulation, and foundation models, he has shipped high-QPS ad infrastructure at Google and led simulation platforms for autonomous systems at Nuro. Based in Mountain View with a Tsinghua systems engineering background, he combines rigorous academic training with practical impact, including measurable revenue and traffic gains from prior roles.
11 years of coding experience
17 years of employment as a software developer
Master, Systems Engineering, Master, Systems Engineering at Tsinghua University
English, Chinese
Github Skills (12)
data-preprocessing10
pytorch10
machine-learning10
eval10
nlp10
dialogue-systems10
python10
evaluation10
natural-language-processing10
bert10
huggingface8
sql-query8
Programming languages (1)
Github contributions (5)
thu-coai/CrossWOZ
Mar 2020 - Jan 2023
A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue Dataset
Role in this project:
ML Engineer
ML EngineerContributions:30 commits, 9 PRs, 30 pushes in 2 years 10 months
Contributions summary:Qi primarily contributes to the development and improvement of machine learning models within the context of a dialogue dataset. The commits demonstrate modifications to NLU (Natural Language Understanding) components, specifically the BERT model, and the addition of end-to-end evaluation procedures. Further contributions involve updates to policy models and the evaluation framework, indicating a focus on model training, evaluation, and overall dialogue system performance. The user also updates model links and data sources from Azure to Hugging Face.
nlpchinesedatasetscaledialogue-systems
thu-coai/Convlab-2
Jan 2020 - Jan 2020
Role in this project:Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:5 PRs, 4 pushes, 2 branches in 1 day
Contributions summary:Qi's commits primarily involve modifications to the core code of a dialogue system toolkit. The user updated a file relating to creating data and delexicalization for the convlab2 project, specifically focused on the comer module and multiwoz datasets. They also updated the model, and removed database pointer. They demonstrate expertise in working with the multiwoz dataset and applying it to dialogue system tasks.
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