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…
Sponsors
Artifeks
More episodes of Enginears
- Modernising Healthcare and Care Home Technology with Applied AI I Enginears
- Building Autonomous accounts receivable that actually works I Enginears Podcast
- Building Browser Agents, Infrastructure and Open-source tools for the web economy I Enginears Podcast
- Building the AI-music generation platform Suno and global platform engineering I Enginears Podcast
- Building AI-native Payroll, Compliance and Benefits I Enginears Podcast
- Helping Teams optimise their Cloud/GPU costs w/ Data/Agents I Enginears Podcast
Explore listener stats, chart rankings, contacts and more on the Enginears podcast page.