Zewditu Hailemariam
Software Engineer (AI Lead) at Microsoft
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolZewditu Hailemariam is a software engineer and AI lead with eight years of experience building accessible, user-centered .NET applications and integrating ML into production using ML.NET. Based in Seattle, she has driven AI agent development in Copilot Studio at Microsoft, extending capabilities with custom MCP-based tools and connectors. Her open-source contributions to the ML.NET AutoML framework—adding sweepable estimators, QA and NER features, and dataset/type handling—demonstrate a practical blend of ML engineering and platform work. Earlier roles show a strong data and visualization background, migrating SSRS to Power BI and automating data pipelines across Cosmos and SQL Server. She pairs deep WPF and UX sensibilities with hands-on model engineering, making intelligent features feel natural and accessible to end users.
8 years of coding experience
7 years of employment as a software developer
Master's degree, Master of Science in Information Science — 2012, Master's degree, Master of Science in Information Science — 2012 at Addis Ababa University
Github Skills (16)
net10
asp-net10
machine-learning10
dotnet10
mlnet10
automl10
csharp10
mldotnet10
dotnet-core10
algorithms9
nlp8
natural-language-processing8
pytorch6
tensorflow6
data-science5
Programming languages (7)
Github contributions (5)
dotnet/machinelearning
May 2019 - Feb 2024
ML.NET is an open source and cross-platform machine learning framework for .NET.
Role in this project:
ML Engineer
ML EngineerContributions:12 reviews, 11 PRs, 2 pushes in 4 years 10 months
Contributions summary:Zewditu primarily contributed to the AutoML framework within the ML.NET repository. Their work included refactoring and modifying existing AutoML components, specifically related to experiment managers and dataset handling within the training and validation processes. Furthermore, the user implemented sweepable estimators, adding functionalities for question-answering, named entity recognition, and text normalization. They also worked on type conversions and added data view support to the source generator.
dotnetmachine-learningml
zewditu/ai-samples
Jun 2024 - Aug 2024
Contributions:4 PRs, 61 pushes, 7 branches in 2 months
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