Surabhi Mehta
Principal Project Manager at Arm
Greater Cambridge Area United Kingdom
Summary
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Rockstar🎓
Top SchoolSurabhi Mehta is a Principal Project Manager at Arm with eight years of experience spanning quality assurance, test engineering, and machine learning model validation. She blends hands-on testing and automation expertise (SQUISH, Jenkins, TestLink) with product delivery in Agile environments, currently focusing on performance analysis and API verification for ML workflows. Her contributions to the Arm NN project demonstrate practical experience integrating and validating TensorFlow models such as MobileNet and Inception V3 within edge ML runtimes. Known for turning complex model compatibility issues into reliable test coverage, she bridges engineering and program management to accelerate reproducible releases. Based in Greater Cambridge, she brings a pragmatic QA-first perspective to ML productization that isn’t obvious from a typical project manager resume.
8 years of coding experience
12 years of employment as a software developer
Bachelor of Technology (B.Tech.), Bachelor of Technology (B.Tech.) at Jodhpur Institute Of Engineering and Technology
Github Skills (7)
neural-network10
machine-learning10
tensorflow10
artificial-neural-networks10
python9
computer-vision8
testing8
Programming languages (3)
Github contributions (5)
ARM-software/armnn
Mar 2018 - Aug 2019
Arm NN ML Software. The code here is a read-only mirror of https://review.mlplatform.org/admin/repos/ml/armnn
Role in this project:
ML Engineer
ML EngineerContributions:6 releases, 11 commits, 2 pushes in 1 year 5 months
Contributions summary:Surabhi contributed to the Arm NN ML Software repository, focusing on the integration and testing of TensorFlow models. Their work included updating and modifying tests for existing models, such as MobileNet and Inception V3, taken from the official TensorFlow repository. The user also made code changes related to the parsing and processing of TensorFlow models within the Arm NN framework. These contributions demonstrate the user's involvement in model compatibility and validation within the Arm NN ecosystem.
adminarmv8deep-learningneural-networksmachine-learning
ARM-software/android-nn-driver
Mar 2018 - Sep 2018
Contributions:7 releases, 4 commits, 3 pushes in 5 months
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