Angeline Budiman-chan
Applied Scientist at Amazon
Canada
Summary
👤
Senior🎓
Top SchoolAngeline Budiman-chan is an applied scientist with 10 years of experience specializing in NLP and personalization, currently shaping Alexa’s personalized experiences at Amazon. Her background spans industry research and product-focused roles at Georgian, where she accelerated AI products across explainability, time series, outlier detection, LLMs, and cybersecurity use cases. She combines rigorous academic training from the University of Toronto with hands-on engineering—from modeling biomedical time-series at SickKids to production-focused feature work and testing at IBM. Comfortable bridging research and applied engineering, she has a track record of translating complex models into practical solutions for growth-stage companies. Based in Canada, she brings both domain breadth and an eye for interpretable, trustworthy ML systems.
10 years of coding experience
10 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Toronto
Github Skills (42)
tabular9
huggingface-transformers9
nlp8
outlier-detection8
huggingface8
natural-language-processing8
machine-learning8
imputation8
gradient-boosting8
shapley8
anomaly-detection8
shap8
packaging7
multimodal7
deep-learning7
Programming languages (4)
Github contributions (5)
angeliney/angeliney.github.io
Sep 2016 - Feb 2019
Contributions:9 pushes, 1 branch in 2 years 5 months
angeliney/ml-in-production-getting-started
Jul 2024 - Oct 2024
Contributions:2 reviews, 12 PRs, 37 pushes in 3 months
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