Beatriz Fagundes
Machine Learning Engineer at Clio - Cloud-Based Legal Technology
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolBeatriz Fagundes is a Machine Learning Engineer with 11 years of experience specializing in Natural Language Processing, from academic research to production deployments. She holds a Master’s in Computer Science and has applied NLP across domains—voice assistants at SiDi/Samsung Bixby, legal tech at Clio, and Brazilian legislative intelligence at Sigalei—covering tasks like text classification, NER, summarization and LLM applications. Comfortable spanning research and engineering, she has led web and API development efforts earlier in her career, bringing strong product-focused software engineering and high test-coverage practices to ML projects. Known for clear communication and team leadership, she blends rigorous experimental work (e.g., analyzing review helpfulness by text specificity) with pragmatic pipeline design to move models from prototype to production.
11 years of coding experience
9 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Universidade Federal da BahiaNon-degree international student, Computer Science, Non-degree international student, Computer Science at Columbia University in the City of New York
Portuguese, English, French
Github Skills (11)
git10
typescript10
github-desktop10
github10
electron10
parser8
css7
cpp6
svg5
bootstrap3
kaggle2
Programming languages (6)
Github contributions (5)
beatrizfagundes/HelpfulReviewDetector
Apr 2019 - May 2019
Contributions:51 pushes in 18 days
beatrizfagundes/news-category-kaggle
Apr 2020 - Aug 2020
Notebook with experiments on News Category dataset from Kaggle
Contributions:1 PR, 7 pushes, 2 branches in 4 months
kaggle
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