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Margin for Moat: Why the Forward Deployed Engineer Is More Relevant Than Ever
Now playing / 20:18
Why engineers who cross product, technical, and customer boundaries create the kind of learning loop that compounds into a moat.
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Published 1 day ago
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20:18Margin for Moat: Why the Forward Deployed Engineer Is More Relevant Than Ever
Published 1 day ago
46:28About Forward Deployed Engineering & Applied AI with Shashank Nallabothu and Bhaulik Patel
Published 1 month ago
54:35Pivoting Paths: From Petroleum Engineer to AI Innovator | Ganesh Krishnan, Data Engineer
Published 4 months ago
43:04Tips for Navigating the AI Landscape: From a Machine Learning Lens | Daryl Fung, ML Researcher
Published 4 months ago
59:10Why the Future of AI Belongs to the Curious | Eric Nusbaum, CEO CardSight AI
Published 5 months ago
1:14:03Leadership Principles in Software Engineering with Eduardo Portella, Director of Engineering & AI
Published 5 months ago
43:15AI & Software Engineering Insights with Pedro, AI/Software Engineer at Addy AI
Published 10 months ago
1:07:42AI Engineering Insights with Siddhanth Ramani, AI/ML Engineer at Autonomous Machining
Published 10 months ago
35:29Rethinking AI with Sushaanth Srinivasan, ML Engineer at Autonomous Machining
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46:01AI Engineering Insights with Jimil (AI Engineer & Ex-Adobe Engineer)
Published 11 months ago
39:27Beyond Code: AI's Role in the Future of Development | João Melo, Head of Engineering at Addy AI
Published 11 months ago
53:02Pioneering the Future of Mortgage Technology Using AI | Michael Vandi, CEO of Addy AI
Published 11 months ago
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Published 11 months ago
42:23A Deployed AI Engineer's Unconventional Path | Kenny, Carnegie Mellon
Published 1 year ago
0:09Introducing the Deployed Engineer Podcast
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Short signals
One idea. No filler.
Fast field notes on agent workflows, engineering judgment, and what changes when AI leaves the demo.

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