Chew-yean Y
Data And AI, Director
United Kingdom
Summary
👤
Senior🎓
Top SchoolChew-yean Y is a Data and AI director based in the UK with over a decade of experience transforming businesses through strategic, ethically grounded AI and machine learning. She blends hands-on engineering—contributing to notable open resources like Microsoft’s generative-ai-for-beginners—with C-suite collaboration to define AI roadmaps that drive measurable commercial value. Her background spans research-intensive roles (PhD in computer vision) to industry leadership at Microsoft and Nokia, enabling her to scale generative AI and ML from incubator prototypes to enterprise production. A committed mentor and community builder, she founded a regional Data Science study group and advises academia on curriculum-industry alignment. She is particularly skilled at turning complex technical risk (safety, compliance, LLM ops) into operational practices that accelerate adoption across global, cross-cultural organizations.
10 years of coding experience
19 years of employment as a software developer
Ph.D. Computer Vision Image Processing Human Motion Modelling Biometrics, Ph.D. Computer Vision Image Processing Human Motion Modelling Biometrics at University of Southampton
Chinese, Chinese, Malay, English, Chinese
Github Skills (10)
prompt-engineering10
lm10
python10
generative-ai10
llm10
openai9
ai9
language-model8
gpt8
transformers7
Programming languages (3)
Github contributions (5)
microsoft/generative-ai-for-beginners
Aug 2024 - Sep 2024
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Role in this project:
ML Engineer
ML EngineerContributions:4 PRs, 1 comment in 18 days
Contributions summary:Chew-yean's contributions primarily involve developing and modifying Python code related to generative AI applications within the context of the `microsoft/generative-ai-for-beginners` repository. These changes include the creation of a new application file (`githubmodels-app.py`) and modifications to existing Jupyter notebooks (e.g., `githubmodels-assignment.ipynb` and `githubmodels-assignment-simple.ipynb`) and the addition of a new notebook for chat applications. The user is also working with the Azure AI inference library, likely to interact with Large Language Models.
aiazurechatgptdall-egenerative-ai
ryubidragonfire/mydarknet
Apr 2018 - Jul 2018
Contributions:44 commits, 27 pushes in 3 months
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