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Harpreet Sahota on community building, bottom-up adoption, and developer relations for machine learning products

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Manage episode 334201466 series 3370867
Content provided by Prateek Joshi. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Prateek Joshi or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Harpreet Sahota is the host of The Artists of Data Science podcast. He's a data science generalist with a strong business acumen. He currently works on Developer Relations at Pachyderm where he is defining and executing strategies that demonstrate the value of data.
In this episode, we cover a range of topics including:
- Building bottom up ML products
- Driving product adoption
- Building the DevRel function at a startup
- What makes an online community great
- How to create useful content
- Understanding the MLOps ecosystem
- Building a personal brand

  continue reading

171 episodes

Artwork
iconShare
 
Manage episode 334201466 series 3370867
Content provided by Prateek Joshi. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Prateek Joshi or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Harpreet Sahota is the host of The Artists of Data Science podcast. He's a data science generalist with a strong business acumen. He currently works on Developer Relations at Pachyderm where he is defining and executing strategies that demonstrate the value of data.
In this episode, we cover a range of topics including:
- Building bottom up ML products
- Driving product adoption
- Building the DevRel function at a startup
- What makes an online community great
- How to create useful content
- Understanding the MLOps ecosystem
- Building a personal brand

  continue reading

171 episodes

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