Jeremy Howard interviews Kaggle Grandmaster Sanyam Bhutani | #150

·54 min·1 clip

Jeremy Howard conducts a warm, wide-ranging interview with Sanyam Bhutani — freshly anointed Kaggle Discussions Grandmaster and community lead at Weights and Biases — tracing his path from a disenchanted CS student at SRM University in India to a respected voice in the global data science community. The conversation covers the transformative power of Fast.ai's top-down learning approach, the painful Google AI residency rejection that Sanyam cried over at 2am, the grinding discipline behind building a podcast with zero listeners, and how gaming habits, public goal-setting, and shameless curiosity combined to fuel sustained progress in machine learning.

As heard by us

A warm, practice-first conversation about learning, gratitude, and getting better by showing up again and again.

Jeremy Howard opens with a scheduling detour before bringing in Sanyam Bhutani, and the conversation settles into an easy, lightly comic rhythm.

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Why you'd press play

A relaxed conversation with a newly anointed Kaggle Grandmaster about how progress actually happens.

Read the full recommendation in PlayNext →

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