Harrison Chase

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Summary

🤩
Rockstar
Harrison Chase is Co-Founder and CEO of LangChain in San Francisco with a decade of experience building ML systems, developer tooling, and production-grade language agents. Prior to founding LangChain he worked as an ML engineer at Robust Intelligence and Kensho, focusing on model deployment and scalable data pipelines. A prolific open-source contributor, he has driven core features across LangChain, LangGraph, langchainjs and projects like gpt-researcher—building crawlers, agent orchestration, VectorDB/QA chains and reusable permchain actors for multi-LLM workflows. He pairs statistical rigor and software engineering with a sports-analytics mindset to iteratively measure and improve agent performance and product UX.
code10 years of coding experience
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Github Skills (55)

api-doc10
typescript310
openai-api10
javascript10
node-js10
documentations10
back-end-development10
python10
langchain10
typescript10
lm10
typescript210
agent-framework10
browser-automation10
llm10

Programming languages (8)

TypeScriptMDXRustJavaScriptHTMLJupyter NotebookRich Text FormatPython

Github contributions (5)

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langchain-ai/langchain

Oct 2022 - Mar 2023

🦜🔗 Build context-aware reasoning applications
Role in this project:
userBack-end Developer
Contributions:3258 reviews, 711 commits, 5034 PRs in 4 months
Contributions summary:Harrison developed the `Crawler` class, likely for a web scraping or automation task. The crawler takes a url, scrapes elements, and can click specific elements. They focused on implementing these operations in the `crawler.py` file.
composability
hwchase17/langchain-hub

Jan 2023 - Jan 2023

Role in this project:
userTechnical Writer
Contributions:6 reviews, 27 commits, 22 PRs in 17 days
Contributions summary:Harrison's commits primarily focus on updating and maintaining documentation within the repository. This includes modifications to README files and prompt templates, demonstrating a focus on improving the clarity and usability of the project's resources. The changes suggest an effort to ensure the documentation accurately reflects the project's functionality and provides helpful examples for users. The user is working with LangChain.
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