Erika Shorten
Technology Partner Manager at Weaviate
Boston, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolErika Shorten is a Technology Partner Manager at Weaviate with three years of experience bridging developer advocacy and partner engineering to drive adoption of vector search and generative AI. She holds dual MS degrees in Economics and Data Science from Florida Atlantic University and published research through the NSF-NRT program on combining structured and unstructured text to predict house prices. At Weaviate she builds demos, delivers partner education, and architects end-to-end integrations—work reflected in open-source contributions to the DSPy framework that improved its Weaviate retrieval and data ingestion capabilities. Comfortable switching between product, research, and engineering, she brings a data-driven mindset to partnership strategy and technical enablement. Based in Boston, she pairs academic rigor with hands-on backend development to make vector databases practical for real-world applications.
3 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Data Science and Analytics, Master of Science - MS, Data Science and Analytics at Florida Atlantic University
Github Skills (8)
weaviate10
databases10
database-api10
python10
database10
data-retrieval10
api8
apidoc8
Programming languages (5)
Github contributions (5)
stanfordnlp/dspy
Feb 2024 - Sep 2024
DSPy: The framework for programming—not prompting—language models
Role in this project:
Back-end Developer
Back-end DeveloperContributions:2 PRs in 7 months
Contributions summary:Erika's contributions centered on enhancing the retrieval module within the DSPy framework, specifically integrating with Weaviate. They added new functionalities, including `get_objects` and `insert` methods, and refactored the connection to the Weaviate collection. These changes enable more robust interaction with Weaviate databases, allowing for data retrieval and insertion operations, which improve the framework's overall capabilities. Additionally, the user implemented `from_rm` in the dataloader, further utilizing the retrieve module.
nlpbertknowledgepredictlanguage-models
weaviate/recipes
May 2023 - Mar 2025
This repository shares end-to-end notebooks on how to use various Weaviate features and integrations!
Contributions:7 reviews, 173 PRs, 290 pushes in 1 year 10 months
function-callinggenerative-aillm-frameworkspythonretrieval-augmented-generation
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