Soheila Zangeneh is a Machine Learning Engineer with seven years of experience building production-ready ML solutions across cloud and research settings, currently contributing to Workday after roles at Google and AltaML. She bridges deep learning, NLP, and computer vision work with strong software engineering practices—having improved CodeBERT-derived program-embedding performance by over 58% and delivered image segmentation and forecasting systems on Azure. Comfortable translating technical results into executive-ready presentations and tutorials, she has a track record of enabling developer adoption through open-source Python tooling and hands-on integrations with TensorFlow, PyTorch and scikit-learn. A former graduate teaching assistant and award-winning data analyst, she pairs academic rigor with practical delivery under tight deadlines. Based in Waterloo, Iowa (Canada), she combines curious experimentation with measurable impact across product, research, and client-facing engagements.
7 years of coding experience
4 years of employment as a software developer
Bachelor's degree Computer Software Engineering, Bachelor's degree Computer Software Engineering at K. N. Toosi University of Technology
Master of Science - MS Computer Software Engineering, Master of Science - MS Computer Software Engineering at University of Calgary
Contributions:30 reviews, 8 PRs, 26 pushes in 3 months
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Soheila Zangeneh - Machine Learning Engineer at Workday