Yiyao Wei
DevOps Engineer at deepset
Berlin, Germany
Summary
🤩
Rockstar🎓
Top SchoolYiyao Wei is a DevOps and Site Reliability engineer with nine years of experience building and operating production-grade ML and conversational AI infrastructure across startups and open-source projects. Based in Berlin, they have hands-on experience at Rasa—contributing to the core of a widely used open-source conversational AI framework—and later scaled reliability and SRE practices at Monta before joining deepset. Yiyao blends backend Python and ML model deployment expertise with robust DevOps practices, improving model loading, policy management, and training reliability in complex systems. A neuroqueer technologist with a background in cognitive science and intelligent adaptive systems, they bring a research-informed mindset to engineering tradeoffs and reproducible experiments. Outside engineering they engage with contemporary art and AI-driven creativity, reflecting a rare cross-disciplinary perspective that informs pragmatic, human-centered infrastructure decisions.
9 years of coding experience
6 years of employment as a software developer
Master of Science (M.S.c) Intelligent Adpative System, Master of Science (M.S.c) Intelligent Adpative System at University of HamburgBachelor of Arts (B.A.) Cognitive Science Computer Science with a math minor, Bachelor of Arts (B.A.) Cognitive Science Computer Science with a math minor at Indiana University Bloomington
Stackoverflow
1reputation
0reached
2answers
0questions
Github Skills (13)
tensorflow10
rasa10
back-end-development10
python10
natural-language-processing10
modeling9
trainings9
machine-learning9
nlp9
testing8
rasa-x6
rasa-core6
rasa-nlu6
Programming languages (12)
Github contributions (5)
RasaHQ/rasa
Jan 2021 - May 2022
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
Role in this project:
Back-end Developer
Back-end DeveloperContributions:42 reviews, 184 commits, 84 PRs in 1 year 4 months
Contributions summary:Yiyao primarily contributed to the core logic and functionality of the Rasa framework. They made changes to several Python files related to model loading, policy management, and loss function calculations using TensorFlow. Additionally, the user worked on integrating notification features, fixing potential bugs in the training process, and improving test coverage. These contributions suggest a focus on the back-end development of the Rasa platform, specifically related to core functionality and model performance.
nlupythonbotspeech-recognitionbotkit
HotThoughts/coding-fonts
Jun 2021 - Nov 2021
Contributions:7 commits, 7 pushes in 5 months
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