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ai-engineer
Omar Khattab
ColBERT and DSPy — late-interaction retrieval and compiled LLM pipelines.
Created ColBERT, the late-interaction retrieval model, and co-created DSPy, a framework that compiles and optimises LLM pipelines instead of hand-tuning prompt strings. The through-line of the work is making retrieval-grounded systems measurable, reproducible, and portable across models.
Technical stack & depth
Retrieval / RAG
Indexing, chunking, reranking, and grounding answers in a corpus.
Prompting
Prompt design, iteration, and instruction-following for a specific job.
Evaluation
Evals, traces, and a quality bar that is not a vibe check.
Engineered solutions
- Repositorystanfordnlp/dspygithub.com
Co-created DSPy, which optimises multi-stage LLM programs against a metric instead of manual prompt tuning.
- Repositorystanford-futuredata/ColBERTgithub.com
Author of ColBERT, the late-interaction retrieval model used as a baseline across the retrieval literature.
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