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Chase Bradley
Staff AI Engineer specializing in LLM systems, retrieval, and ML infrastructure
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About
ML/LLM engineer from Cohere who has owned retrieval, reranking, agentic workflows, and internal evaluation infrastructure end-to-end in production. Particularly strong in turning brittle RAG and research-heavy ideas into scalable enterprise systems with grounded outputs, lower customer escalations, and adoption by major clients like Notion and Fujitsu.
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Key Strengths
- End-to-end ownership of production ML/AI retrieval systems
- Deep expertise in retrieval quality debugging via step-level evals
- Strong RAG and search relevance optimization
- Agentic LLM workflow design for multi-step enterprise use cases
- Grounding and hallucination mitigation through verifier-based gating
- Pragmatic translation of research into scalable production systems
- Latency and cost optimization with caching, pruning, and cascades
- Builds reusable internal platforms that improve team velocity
- Standardized evaluation infrastructure across teams
- Customer-impact focus; reduced escalations on missing obvious results
- Enterprise AI product impact with clients like Notion and Fujitsu
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