Darren Oberst
Co-Founder & Chief Technology Officer at LLMWare (by Ai Bloks)
Greenwich, Connecticut, United States
Summary
🤩
Rockstar🎓
Top SchoolDarren Oberst is a serial technology executive and Co-Founder/CTO building llmware, an open-source framework for enterprise retrieval-augmented generation that powers specialized, small LLMs for knowledge-intensive industries. He has hands-on engineering chops—authoring core backend features and fixes in the llmware repo—and has released 50+ specialized models across multiple families for QA, embeddings, and function calling. Darren pairs deep technical inventiveness with proven general management experience, having grown businesses from single-digit teams to organizations of 5,000+ and led HCL Software to $1.2B in revenue. His career spans startup founding, global product scaling, M&A-led growth, and enterprise sales leadership across AI, cloud, FinTech and MarTech. Based in Greenwich, CT, he uniquely blends legal training (Harvard Law) and a physics/philosophy BA from Berkeley with a product-driven approach to open-source AI for regulated industries. Colleagues describe him as a pragmatic builder who moves rapidly between code, models, and high-stakes commercial strategy.
2 years of coding experience
23 years of employment as a software developer
B.A. Physics Philosophy, B.A. Physics Philosophy at University of California, BerkeleyJ.D. Law, J.D. Law at Harvard Law School
English
Github Skills (7)
retrieval-augmented-generation10
python10
develop9
error-handling9
api8
generative-ai8
apidoc8
Programming languages (1)
Github contributions (3)
llmware-ai/llmware
Oct 2023 - Mar 2025
Unified framework for building enterprise RAG pipelines with small, specialized models
Role in this project:
Backend Developer
Backend DeveloperContributions:1 review, 1343 PRs, 874 pushes in 1 year 5 months
Contributions summary:Darren implemented core functionality within the `llmware` framework. They added support for `exact_mode` in text queries and incorporated defensive code to handle scenarios where embedding models are unavailable. The user also addressed several issues, including adding the account name to library cards, creating a default text index at library creation, and correcting parameterization for the account name. They made changes in the `retrieval.py`, `exceptions.py`, `library.py` and test related code files.
agentsgenerative-ai-toolsllamacppllmonnx
willtaner/llmware
May 2024 - May 2024
Contributions:1 push in 1 day
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