Mina Farid is a Machine Learning and software engineering professional with 11 years of experience, holding a PhD in Computer Science from the University of Waterloo and currently working as a Member of Technical Staff in Canada. She has held senior ML roles at Apple focused on knowledge graphs and information intelligence, and earlier contributed core data infrastructure and SQL sorting work during internships at Google. Mina blends research rigor with product-focused engineering—she was employee #1 at Inductiv and has practical experience testing and improving open-source data-enrichment tooling (contributions to HoloClean). Her background spans NLP, data analytics, and scalable systems, and she has a track record of moving research prototypes into production-grade systems.
11 years of coding experience
9 years of employment as a software developer
Bachelor of Science (B.Sc.) Computer Science, Bachelor of Science (B.Sc.) Computer Science at The American University in Cairo
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at University of Waterloo
Contributions:87 commits, 54 PRs, 110 pushes in 10 months
Contributions summary:Mina primarily modified test files related to `holoclean.py` and the `test_holoclean.py` file. The changes involve the use of `holoclean` to load data, define detectors, repair errors and evaluate results. Further commits include code changes in `holoclean.py` to separate the `holoclean` class. These indicate a focus on testing the core functionalities of the data enrichment system.
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