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Dexa/Super Data Science: ML & AI Podcast with Jon Krohn

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Community Engagement Insights

Xander shares his journey from a machine learning engineer at a failed startup to realizing the importance of community engagement. He emphasizes that understanding market needs is crucial to avoid pitfalls like lacking product-market fit. By becoming a conduit between the company and the community, he aims to foster stronger connections and prevent past mistakes in his career.
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    Super Data Science: ML & AI Podcast with Jon Krohn

    689: Observing LLMs in Production to Automatically Catch Issues — with Amber Roberts and Xander Song

  • Related Questions

    • How do you come up with a product as a software engineer, as discussed in the episode E7: From Open-Source Project at Uber to Temporal.io and the clip Customer Pain Solutions?

    • When I become great at software engineering, how can I pivot my skills to create a successful startup?

    • How should I think about my career if I am currently in a job I don't necessarily enjoy, but I am doing fine? I am interested in AI and feel passionate about roles in search and AI. I am a software engineer with 10 years of experience across companies like Google, Retool, and Lyft. This question is related to the episode Open Source, Meetups and Developer Relations | Alessandro Vozza | Beyond Coding Podcast #115 and the clip The Devrel Role

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