Building Reinforcement Learning into self-healing code and systems w/ Deductive AI I Enginears Podcast

About this episode

Sameer from Deductive AI discusses the integration of reinforcement learning into self-healing code and systems.

Today I’m joined by Deductive AI. Sameer is an absolute powerhouse, one of the Founding Engineers at Databricks, spent 5 years at Meta building large scale services and now building Deductive AI. Deductive are building self-healing, self-learning services. They are building reinforcement learning into their product offering to heal legacy (..even new code) being generated by AI. Sameer's background and being a Founding Engineer at Databricks Recognising an opportunity in reinforcement learning and self-healing / self-learning code and systems Building an AI-SRE Generating a course of action in ambiguous cases -> an open-ended engineering challenge that has never been seen before and planning for cases like this Bets that Deductive are placing in the next 6-12 months If you're keen to share your story, please reach out to us! Guest: Powered by Artifeks! https://www.linkedin.com/company/artifeksrecruitment https://www.artifeks.co.uk https://www.linkedin.com/in/agilerecruiter LinkedIn: https://www.linkedin.com/company/enginearsio Twitter: https://x.com/Enginearsio All Podcast Platforms: https://smartlink.ausha.co/enginears Hosted on Ausha. See ausha.co/privacy-policy for more…

People in this episode

Host: Enginears

Guest: Sameer

Topics covered

• reinforcement learning
• self-healing code
• AI services
• engineering challenges
• Deductive AI

Keywords

• reinforcement learning
• self-healing
• AI
• Deductive AI
• Databricks
• Meta
• engineering challenges

Sponsors

Artifeks

Mentioned in this episode

Organizations: Deductive AI, Databricks, Meta

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