Daniel Chalef
Founder at getzep
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolDaniel Chalef is a founder and corporate development leader with 11 years of experience scaling B2B SaaS businesses from early-stage startups through PE-backed growth to successful exits. He combines executive marketing and data science leadership with hands-on engineering—contributing code to projects like langchainjs by integrating Zep long-term memory for similarity search and auto-embedding. Based in San Francisco, he has led teams as CEO and built go-to-market strategies that align product, data, and M&A objectives. His academic background is a Cum Laude BBusSci (Honors) in Information Systems from the University of Cape Town, grounding his strategic instincts in technical rigor. Colleagues know him for translating complex AI tooling into practical, revenue-driving features and for balancing founder grit with measured corporate execution.
11 years of coding experience
Bachelor of Business Science, Honors Degree, Information Systems, Graduated Cum Laude in Information Systems, Bachelor of Business Science, Honors Degree, Information Systems, Graduated Cum Laude in Information Systems at University of Cape Town
Stackoverflow
1,077reputation
43kreached
3answers
4questions
machine-learning
top-5%
Github Skills (19)
javascript10
langchain10
typescript10
vector-database10
typescript-types10
typescripts10
embedding10
machine-learning9
nodejs9
testing8
google-drive-api6
amazon-redshift6
sqlalchemy6
docker6
amazon-web-services6
Programming languages (13)
Github contributions (5)
langchain-ai/langchainjs
Apr 2023 - Oct 2023
🦜🔗 Build context-aware reasoning applications 🦜🔗
Role in this project:
Back-end Developer
Back-end DeveloperContributions:2 reviews, 6 PRs, 11 comments in 6 months
Contributions summary:Daniel contributed to the development of a ZepVectorStore implementation, focusing on integrating the Zep long-term memory store with the langchainjs library. This involved adding functionality for adding documents, performing similarity searches, and deleting documents. The user implemented support for auto-embedding and addressed various bug fixes and improvements, as well as added MMR search functionality. They also contributed to the creation of examples demonstrating the functionality.
getzep/docs.getzep.com
Aug 2023 - Sep 2024
Contributions:5 reviews, 71 PRs, 47 pushes in 1 year
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