Aaron Hill is a content developer and full-stack engineer with 11 years of experience building and documenting cloud and AI integrations at Microsoft from his base in Seattle. He combines hands-on coding across JavaScript, Python, C#, and Java with a focus on sample code and quickstarts for Azure Cognitive Services and Bing APIs, improving developer onboarding through clearer notebooks and REST examples. His background includes full-stack prototyping for automotive cloud services and research-driven projects in genotype-to-phenotype simulation and robotics, reflecting a blend of practical product delivery and academic curiosity. Notably, his open-source contributions center on making complex AI APIs approachable—updating anomaly detection and text analytics samples that are widely used by Azure developers.
11 years of coding experience
1 year of employment as a software developer
Bachelor's Degree, Computer Science, Bachelor's Degree, Computer Science at Vassar College
Samples for the Anomaly Detection API documentation:
Role in this project:
Full-stack Developer
Contributions:40 commits, 16 PRs, 27 pushes in 7 months
Contributions summary:Aaron primarily focused on updating and refining Jupyter notebooks within the repository. They modified existing notebooks for batch anomaly detection and latest point detection by integrating with the Anomaly Detector API. Additionally, the user added notes regarding API endpoints and updated code samples within the quickstart guides, demonstrating a strong understanding of the project's functionalities. These changes suggest a focus on improving documentation and sample usage.
This is a repo for cognitive services REST API samples in 4 languages: C#, Java, Node.js, and Python.
Role in this project:
Back-end Developer
Contributions:61 commits, 27 PRs, 20 pushes in 2 years 1 month
Contributions summary:Aaron contributed to the repository by adding REST API samples in Ruby and C#. These samples demonstrate the use of Cognitive Services, specifically Bing Image Search. The user also updated existing quickstart tutorials, and modified a single page web application tutorial, reflecting their work across multiple languages and project areas. This suggests involvement in both backend API integration and front-end aspects.
apipythonnode-jscognitivecognitive-services
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