Doug Turnbull (Maven)

Doug Turnbull (Maven)

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Led teams at Shopify, Reddit, Wikipedia

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Doug Turnbull (Maven) -- search should be an asset. Not mysterious.

In 2012, Doug got bit by the search bug and he's still trying to keep up. From full-text search, to Learning to Rank models, to search agents that generate their own code, he knows the endless landscape first hand. Yet Doug wants to deeply understand the what / how / why, and help teams use these technologies practically, distinguishing hype from reality.

He’s led search at Reddit, Shopify, and Wikipedia, authored Relevant Search and AI Powered Search, and advised 100+ organizations over the years - all in pursuit of the same question: how does search actually work?

Alumni reviews

I gained valuable insights and practical tips on the latest developments in agentic search from information retrieval professionals. Participating from APAC came with some time zone difficulties, but the content was extremely worthwhile.
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Kazuki

June 2026
AI Engineer · IVRy
A Practical and Insightful Deep Dive into Agentic Search "Cheat at Search" is an exceptionally practical and timely course. Doug Turnbull does a wonderful job of breaking down the evolution of information retrieval into agentic workflows, making complex concepts highly accessible. The curriculum is thorough and forward-looking, covering critical areas like LLM query understanding, agentic harnesses, and recursive language models. The structure of the course is incredibly supportive for professionals. The hands-on notebooks offer excellent practical application, and having access to the recorded sessions is invaluable for reviewing the material at your own pace. Additionally, the industry guest speakers from organizations like Sid.ai, IBM, and Hornet brought fantastic real-world insights and external perspectives to the discussions. I am incredibly grateful for the knowledge gained in this class. It is a highly relevant, rewarding experience for anyone looking to understand the intersection of AI, LLMs, and modern search architecture.

Malathi

June 2026
Senior Director, AI/ML, Search and Data · Indeed
I took this course twice - a year ago and again now. It's amazing to see how much Doug has evolved the material and expanded the topics.
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Andrew

June 2026
Builder · Freelancer
In depth. Loved the community and cohort.

Asim

June 2026
Senior Staff Engineer · nerdstop
I found the course very interesting. Doug presents clever ideas around search, RAG, and agents applied to information retrieval systems, with a practical and unconventional approach. I also appreciated the participation of special guests, because it helped connect the content with current industry discussions and see the topic from different perspectives. This combination made the course feel not only like a technical explanation, but also like a conversation about how search with agents may evolve. Overall, the course gave me several ideas to keep exploring and to apply with better judgment.
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Mario

June 2026
MLops Engineer · EAFIT University