Ilai Giloh
Staff ML Engineer at Wayve
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolIlai Giloh is a Staff ML Engineer based in London with 11 years of experience building production machine learning and high-performance systems across companies from Apple to Pinecone and Wayve. He has led cross-functional teams to deliver on-device ML features for AR and camera systems and later spearheaded open-source RAG tooling and a B2B generative AI assistant at Pinecone. Comfortable from low-level C++ systems and real-time algorithms to end-to-end ML stack and deployment, he pairs deep engineering rigor with practical product delivery. An active contributor to notable open-source projects like Turi Create, he has improved activity classification, test coverage, and train-validation logic—demonstrating attention to both model correctness and developer experience. Colleagues rely on him to translate ambiguous research problems into robust, testable production solutions. He holds a B.Sc. in Electrical Engineering and brings an unusual blend of telecom/networking roots and modern generative AI leadership.
11 years of coding experience
12 years of employment as a software developer
Bachelor of Science (B.Sc.) Electrical (Electronics & Computers) Engineering, Bachelor of Science (B.Sc.) Electrical (Electronics & Computers) Engineering at Ben-Gurion University of the Negev
English, Hebrew, German
Github Skills (7)
unit-testing10
machine-learning10
deeplearning-ai10
deep-learning10
python10
test-automation10
numpy8
Programming languages (2)
Github contributions (5)
apple/turicreate
Dec 2017 - Jul 2018
Turi Create simplifies the development of custom machine learning models.
Role in this project:
ML Engineer & QA Engineer/Test Automation Engineer
ML Engineer & QA Engineer/Test Automation EngineerContributions:15 commits, 24 PRs, 14 pushes in 7 months
Contributions summary:Ilai primarily focused on improving and testing the activity classification functionality within the Turi Create library. Their contributions included fixing a bug in the sequence iterator, enhancing the unit tests for the iterator to cover more edge cases and outputs, and updating the train-validation split logic to address several bugs. Additionally, they made improvements to the documentation, specifically related to the package's installation and usage instructions.
pythondeep-learningmachine-learningcoremlmulticlass-classification
igiloh/turicreate
Dec 2017 - Oct 2018
Turi Create simplifies the development of custom machine learning models.
Contributions:2 PRs, 10 pushes, 5 branches in 10 months
machinelearningmachine-learningmachine-learning-models
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