Audrey Lorberfeld
Senior Software Engineer at OpenRouter
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolAudrey Lorberfeld is a Senior Software Engineer based in San Francisco with a decade of experience building scalable backend services, developer tooling, and information retrieval systems. She has deep expertise in search—covering lexical, vector, and agentic approaches—and a strong track record in API-driven architectures and cross-runtime SDKs. At Pinecone she led the TypeScript SDK, cutting CI time dramatically and adding robust features to support 100M+ requests/week, and she’s contributed practical vector-search demos that showcase multi-tenant, multilingual namespace routing. Her work at Reddit and IBM created production-grade offline evaluation pipelines and multilingual indexing that materially improved ranking and monitoring. Founder of Women of Search, she combines technical leadership with community-building and a selective referral practice that underscores her emphasis on trusted collaboration. Audacious about developer DX, she focuses on automation, reliability, and measurable improvements in search relevance.
10 years of coding experience
10 years of employment as a software developer
Master of Library & Information Science (MLIS), Master of Library & Information Science (MLIS) at University of WashingtonData Science, Data Science at Flatiron SchoolClassics, Ancient/Classical Greek Language and Literature, Classics, Ancient/Classical Greek Language and Literature at Reed CollegeData Analyst, Data Analyst at Udacity
English, Greek, Latin, Spanish
Github Skills (6)
jupyter-notebook10
vector-database10
python10
semantic-search10
llm9
ai8
Programming languages (12)
Github contributions (5)
pinecone-io/examples
Sep 2023 - Mar 2024
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:7 reviews, 21 PRs, 59 pushes in 6 months
Contributions summary:Audrey added a new Jupyter Notebook (`namespaces.ipynb`) and a demo notebook (`namespaces_demo.ipynb`) within the `learn/search/namespaces` directory, demonstrating the use of namespaces in the Pinecone vector database. The notebooks provide a practical, multi-tenant search application that handles queries in different languages, by directing queries to the appropriate namespace based on the query language. They also added a final demo notebook (`namespaces_demo.ipynb`).
aijupyter-notebookllmpythonsemantic-search
aulorbe/Skin-Segmentation-Logit-Regression
Dec 2018 - Jan 2019
Contributions:28 commits, 21 pushes, 1 branch in 21 days
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