Abby Harrison
Graduate Research Assistant
Salt Lake City, Utah, United States
Summary
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Rockstar🎓
Top SchoolAbby Harrison is a Graduate Research Assistant and biomedical engineering graduate based in Salt Lake City with four years of research and software development experience. She combines academic rigour from the University of Utah with practical back-end engineering skills, notably contributing to Microsoft's high-profile semantic-kernel project by implementing a SaveAsync memory feature for TextMemorySkill. Her work sits at the intersection of biomedical engineering and AI systems, enabling semantic memory storage that makes LLM integrations more practical for applications. Abby brings hands-on experience from both undergraduate and graduate research roles, a steady record of shipping targeted features, and a knack for turning research ideas into usable developer tools.
4 years of coding experience
2 years of employment as a software developer
The University of Utah
Github Skills (4)
csharp10
dotnet-core10
ai10
sdk8
Programming languages (3)
Github contributions (5)
microsoft/semantic-kernel
Feb 2023 - Mar 2023
Integrate cutting-edge LLM technology quickly and easily into your apps
Role in this project:
Back-end Developer
Back-end DeveloperContributions:5 releases, 442 reviews, 5 commits in 20 days
Contributions summary:Abby implemented new functionality for the `TextMemorySkill` within the `microsoft/semantic-kernel` repository, adding a `SaveAsync` function. This enhancement allows users to store information directly within semantic memory. Additionally, the user modified the example code to demonstrate usage of the new function and features of the existing functions.
llmaiartificial-intelligenceopenaisdk
awharrison-28/semantic-kernel
Mar 2023 - Oct 2023
Integrate cutting-edge LLM technology quickly and easily into your apps
Contributions:481 pushes, 89 branches in 7 months
llm
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