Jordan Frazier is a software engineer with three years of professional experience building scalable backend systems and AI tooling, currently based in Wilmington, NC. He has hands-on experience at DataStax working on RAGStack AI and contributed Cassandra-backed storage and messaging integrations to the popular Langflow low-code RAG/multi-agent project. Prior roles at Kaskada and Amazon sharpened his distributed systems and data-processing skills, and he combines that operational mindset with practical open-source contributions that address dependency, locking, and package consistency issues. A Duke ECE graduate with a CS minor, Jordan is as comfortable shipping production services as he is improving developer workflows—often surfacing subtle integration bugs that other engineers miss.
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
Role in this project:
Back-end Developer
Contributions:246 reviews, 141 PRs, 448 pushes in 1 year
Contributions summary:Jordan primarily contributed to the integration of Cassandra components within the Langflow project. Their work involved the development of Cassandra store and search components, message writers and readers, and the addition of corresponding icons. They also made changes to ensure existing codebases used the correct Python and Typescript packages and that existing and new code snippets adhere to the correct styling formats. Furthermore, the user addressed locking and dependency issues with lockfiles and other component interactions.
Contributions:4 reviews, 10 PRs, 28 pushes in 11 days
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