The MLOps Podcast for Real-World AI Teams
Featured MLOps Podcasts
Episodes

Getting Humans Out of the Way: How to Work with Teams of Agents
Rob Ennals is a Staff Software Engineer at Uber, working on large-scale distributed systems and core backend infrastructure.

Fixing GPU Starvation in Large-Scale Distributed Training
Kashish Mittal is a Staff Software Engineer at Uber, working on large-scale distributed systems and core backend infrastructure.

Spec Driven Development, Workflows, and the Recent Coding Agent Conference
Jens Bodal is a Senior Software Engineer II working independently, focusing on backend systems, software architecture, and building scalable solutions across client projects.
Operationalizing AI Agents: From Experimentation to Production // Databricks Roundtable
Databricks Roundtable episode: Operationalizing AI Agents: From Experimentation to Production.

Arrowspace: Vector Spaces and Graph Wiring
Lorenzo Moriondo is a Technical Lead for AI at tuned.org.uk, working on AI agent protocols, graph-based search, and production-grade LLM systems.

Agentic Marketplace
Donné Stevenson is a Machine Learning Engineer at Prosus, working on scalable ML infrastructure and productionizing GenAI systems across portfolio companies.
Durable Execution and Modern Distributed Systems
Johann Schleier-Smith is the Technical Lead for AI at Temporal Technologies, working on reliable infrastructure for production AI systems and long-running agent workflows.

Performance Optimization and Software/Hardware Co-design across PyTorch, CUDA, and NVIDIA GPUs
March 3rd, Computer History Museum CODING AGENTS CONFERENCE, come join us while there are still tickets left.
Serving LLMs in Production: Performance, Cost & Scale // CAST AI Roundtable
Roundtable CAST AI episode: Serving LLMs in Production: Performance, Cost & Scale.

The Future of Information Retrieval: From Dense Vectors to Cognitive Search
Rahul Raja is a Staff Software Engineer at LinkedIn, working on large-scale search infrastructure, information retrieval systems, and integrating AI/ML to improve ranking and semantic search experiences.
Rethinking Notebooks Powered by AI
Vincent Warmerdam is a Founding Engineer at marimo, working on reinventing Python notebooks as reactive, reproducible, interactive, and Git-friendly environments for data workflows and AI prototyping.

Software Engineering in the Age of Coding Agents: Testing, Evals, and Shipping Safely at Scale
Ereli Eran is the Founding Engineer at 7AI, where he’s focused on building and scaling the company’s agentic AI-driven cybersecurity platform — developing autonomous AI agents that triage alerts, investigate threats, enrich security data, and enable end-to-end automated security operations so human teams can focus on higher-value strategic work.

Physical AI: Teaching Machines to Understand the Real World
Nick Gillian is the Co-Founder and CTO at Archetype AI, working on physical AI foundation models that understand and reason over real-world sensor data.

Speed and Scale: How Today's AI Datacenters Are Operating Through Hypergrowth
Kris Beevers is the CEO at NetBox Labs, working on turning NetBox into the system of record and automation backbone for modern and AI-driven infrastructure.

Cracking the Black Box: Real-Time Neuron Monitoring & Causality Traces
Mike Oaten is the Founder and CEO of TIKOS, working on building AI assurance, explainability, and trustworthy AI infrastructure, helping organizations test, monitor, and govern AI models and systems to make them transparent, fair, robust, and compliant with emerging regulations.
A Playground for AI/ML Engineers
Paulo Vasconcellos is the Principal Data Scientist for Generative AI Products at Hotmart, working on AI-powered creator and learning experiences, including intelligent tutoring, content automation, and multilingual localization at scale.

How Universal Resource Management Transforms AI Infrastructure Economics
Wilder Lopes is the CEO and Founder of Ogre.run, working on AI-driven dependency resolution and reproducible code execution across environments.

Conversation with the MLflow Maintainers
Corey Zumar is a Product Manager at Databricks, working on MLflow and LLM evaluation, tracing, and lifecycle tooling for generative AI.
Leadership on AI
Euro Beinat is the Global Head of AI and Data Science at Prosus Group, working on scaling AI-driven tools and agent-based systems across Prosus’s global portfolio, deploying internal assistants like Toqan and generative AI platforms such as PlusOne, and building initiatives like AI House Amsterdam and interdisciplinary AI residencies to explore intent-driven AI and strengthen Europe’s AI ecosystem.

Computers that Think and Take Actions for You
Zengyi Qin is the Founder of the OpenAGI Foundation, working on computer-use models and open, agent-centric AI infrastructure.
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