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Software at Scale 54 - Community Trust with Vikas Agarwal

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Manage episode 354165657 series 2899471
Content provided by Utsav Shah. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Utsav Shah 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://player.fm/legal.

Vikas Agarwal is an engineering leader with over twenty years of experience leading engineering teams. We focused this episode on his experience as the Head of Community Trust at Amazon and dealing with the various challenges of fake reviews on Amazon products.

Apple Podcasts | Spotify | Google Podcasts

Highlights (GPT-3 generated)

[0:00:17] Vikas Agarwal's origin story.

[0:00:52] How Vikas learned to code.

[0:03:24] Vikas's first job out of college.

[0:04:30] Vikas' experience with the review business and community trust.

[0:06:10] Mission of the community trust team.

[0:07:14] How to start off with a problem.

[0:09:30] Different flavors of review abuse.

[0:10:15] The program for gift cards and fake reviews.

[0:12:10] Google search and FinTech.

[0:14:00] Fraud and ML models.

[0:15:51] Other things to consider when it comes to trust.

[0:17:42] Ryan Reynolds' funny review on his product.

[0:18:10] Reddit-like problems.

[0:21:03] Activism filters.

[0:23:03] Elon Musk's changing policy.

[0:23:59] False positives and appeals process.

[0:28:29] Stress levels and question mark emails from Jeff Bezos.

[0:30:32] Jeff Bezos' mathematical skills.

[0:31:45] Amazon's closed loop auditing process.

[0:32:24] Amazon's success and leadership principles.

[0:33:35] Operationalizing appeals at scale.

[0:35:45] Data science, metrics, and hackathons.

[0:37:14] Developer experience and iterating changes.

[0:37:52] Advice for tackling a problem of this scale.

[0:39:19] Striving for trust and external validation.

[0:40:01] Amazon's efforts to combat abuse.

[0:40:32] Conclusion.


This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.softwareatscale.dev
  continue reading

59 episodes

Artwork
iconShare
 
Manage episode 354165657 series 2899471
Content provided by Utsav Shah. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Utsav Shah 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://player.fm/legal.

Vikas Agarwal is an engineering leader with over twenty years of experience leading engineering teams. We focused this episode on his experience as the Head of Community Trust at Amazon and dealing with the various challenges of fake reviews on Amazon products.

Apple Podcasts | Spotify | Google Podcasts

Highlights (GPT-3 generated)

[0:00:17] Vikas Agarwal's origin story.

[0:00:52] How Vikas learned to code.

[0:03:24] Vikas's first job out of college.

[0:04:30] Vikas' experience with the review business and community trust.

[0:06:10] Mission of the community trust team.

[0:07:14] How to start off with a problem.

[0:09:30] Different flavors of review abuse.

[0:10:15] The program for gift cards and fake reviews.

[0:12:10] Google search and FinTech.

[0:14:00] Fraud and ML models.

[0:15:51] Other things to consider when it comes to trust.

[0:17:42] Ryan Reynolds' funny review on his product.

[0:18:10] Reddit-like problems.

[0:21:03] Activism filters.

[0:23:03] Elon Musk's changing policy.

[0:23:59] False positives and appeals process.

[0:28:29] Stress levels and question mark emails from Jeff Bezos.

[0:30:32] Jeff Bezos' mathematical skills.

[0:31:45] Amazon's closed loop auditing process.

[0:32:24] Amazon's success and leadership principles.

[0:33:35] Operationalizing appeals at scale.

[0:35:45] Data science, metrics, and hackathons.

[0:37:14] Developer experience and iterating changes.

[0:37:52] Advice for tackling a problem of this scale.

[0:39:19] Striving for trust and external validation.

[0:40:01] Amazon's efforts to combat abuse.

[0:40:32] Conclusion.


This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.softwareatscale.dev
  continue reading

59 episodes

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