Fareeha Irfan
Machine Learning Engineer
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolFareeha Irfan is a Machine Learning Engineer with nine years of experience building production ML systems and research prototypes, most recently contributing to Apple’s VCV Science R&D efforts in 3D computer vision, AR/VR, and sensor-based health inference. She has shipped work for Vision Pro and Depth API, incubated toolkits and public pre-trained models for developers, and improved ML infrastructure and training pipelines for on-device constraints. Her open-source contributions to Apple’s popular TuriCreate include implementing SArray/SFrame features and fixing type-casting bugs, reflecting practical expertise in data structures and developer-facing ML tooling. Earlier roles span research in multimodal retrieval, image captioning, and semi-supervised learning, plus hands-on systems work from topology discovery in SDN to compiler provenance. Based in the San Francisco Bay Area, she blends rigorous academic grounding (MS in Computer Science) with product-focused engineering and a knack for creating cost-effective datasets and benchmarks. Colleagues describe her as someone who bridges deep research, robust engineering, and clear communication of risk and mitigation strategies.
9 years of coding experience
10 years of employment as a software developer
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at Lahore University of Management SciencesMaster's degree, Computer Science, Master's degree, Computer Science at University of Central Florida
English, Urdu
Github Skills (9)
data-structures10
machine-learning10
python10
data-structure10
testing9
unit-test9
unit-testing9
deep-learning8
deeplearning-ai8
Programming languages (2)
Github contributions (5)
apple/turicreate
Sep 2018 - Feb 2020
Turi Create simplifies the development of custom machine learning models.
Role in this project:
ML Engineer
ML EngineerContributions:41 commits, 83 PRs, 40 pushes in 1 year 4 months
Contributions summary:Fareeha primarily contributed to the `turicreate` repository by fixing bugs related to SArray type-casting and adding features to the SFrame, specifically the `add_column` and `filter_by` functions. Their work involved modifying the data structures and tests, improving the handling of non-SArray iterables, and addressing issues related to const assignments within SFrame operations. Furthermore, the user implemented the core functionality for the `filter_by()` function in the SArray data structure, demonstrating skills in data manipulation and extending the toolkit's capabilities.
pythondeep-learningmachine-learningcoremlmulticlass-classification
fareeha/turicreate
Sep 2018 - Feb 2020
Turi Create simplifies the development of custom machine learning models.
Contributions:204 pushes, 43 branches in 1 year 4 months
machinelearningmachine-learningmachine-learning-models
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