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Shipping Practical AI: How to Build Real-World ML for 2D Drawings (with Marina Petzel)

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内容由By Harness提供。所有播客内容(包括剧集、图形和播客描述)均由 By Harness 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

In this episode of Ship Talk, host Dewan Ahmed (Principal Developer Advocate, Harness) sits down with Marina Petzel, Senior ML Engineer and AI Productivity Lead at Autodesk, to unpack what it actually looks like to ship AI into long-lived, production software.

Marina shares her journey from classic predictive analytics to computer vision and LLMs, and how her team brings intelligent features like Smart Blocks in AutoCAD from ideation to prototype to production on a tight yearly release cadence. She breaks down the often ignored parts of ML work: data pipelines, infrastructure, UX fit, and safety testing, and explains why “garbage in, garbage out” is a law of nature, not just a cliché.

They also dive into AI for developer productivity, multi-agent workflows, red-teaming and prompt safety, and how every engineer, regardless of seniority, can start using AI as a genuine skill multiplier. Marina closes with concrete advice for aspiring ML engineers: build more, read less, follow your curiosity, and share your work publicly so your visibility compounds over time.

Follow Marina's work: https://marina.petzel.tech
Connect with her: https://www.linkedin.com/in/marina-petzel

  continue reading

39集单集

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Fetch error

Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on December 02, 2025 00:21 (19d ago)

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Manage episode 522159403 series 2817626
内容由By Harness提供。所有播客内容(包括剧集、图形和播客描述)均由 By Harness 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

In this episode of Ship Talk, host Dewan Ahmed (Principal Developer Advocate, Harness) sits down with Marina Petzel, Senior ML Engineer and AI Productivity Lead at Autodesk, to unpack what it actually looks like to ship AI into long-lived, production software.

Marina shares her journey from classic predictive analytics to computer vision and LLMs, and how her team brings intelligent features like Smart Blocks in AutoCAD from ideation to prototype to production on a tight yearly release cadence. She breaks down the often ignored parts of ML work: data pipelines, infrastructure, UX fit, and safety testing, and explains why “garbage in, garbage out” is a law of nature, not just a cliché.

They also dive into AI for developer productivity, multi-agent workflows, red-teaming and prompt safety, and how every engineer, regardless of seniority, can start using AI as a genuine skill multiplier. Marina closes with concrete advice for aspiring ML engineers: build more, read less, follow your curiosity, and share your work publicly so your visibility compounds over time.

Follow Marina's work: https://marina.petzel.tech
Connect with her: https://www.linkedin.com/in/marina-petzel

  continue reading

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