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MLOps.community
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technology

MLOps.community

Hosted by Demetrios · 🇨🇦 CA · EN · 523 episodes

★★★★4.3(6 ratings · Apple Podcasts)

Where this show ranks

Reviews (30d)
1
Episodes
523
Last ep.
8 days ago
Avg length
51m
Booking Probability™
51
Reasonable fit.
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Estimated audience
,
Audience size not yet estimated
Listen Score
38
Niche reach.
Virality (30d)
56
Steady cadence.

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80/ 100
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Best topics to pitch
technology

About this podcast

Relaxed Conversations around getting AI into production, whatever shape that may come in (agentic, traditional ML, LLMs, Vibes, etc)

technology

About the host

Demetrios hosts MLOps.community, a technology show with 523 episodes published.

Verified host email:████████@████.comSign in to unlock →

Recent episodes

Our AI reads these to draft pitches

AI Is Fast. AI Projects Are Slow. Let's Fix That.

May 29, 202656m

Joe Maionchi (Co-founder & COO) and Rod Christensen (Co-founder & Chief Architect) of RocketRide join the MLOps Community to walk through AIDE — the AI Integrated Development Environment. RocketRide is an open-source AI

Show notes

Architecting Modern AI Systems: Platforms, Agents, and Integration

May 28, 202656m

BuzzHPC Roundtable episode: Architecting Modern AI Systems: Platforms, Agents, and Integration Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter MLOps GPU

Show notes

[Special Announcement] MLOps Community Linux Foundation

May 28, 20262m

Big news: the MLOps Community is joining the Linux Foundation to become the official user community of the new Agentic AI Foundation (AAIF). The AAIF is the neutral home for open source projects like the Model Context Pr

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Inside Just Eat's AI Lab: Voice Agents & Agentic Commerce

May 26, 20261h 18m

Guthrie Cooper (Senior Group Product Manager, AI & Robotics) and Nidhi Sharma (Global Head of Engineering AI & Incubation) from Just Eat Takeaway.com join the MLOps.community to pull back the curtain on how one of Europe

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Autonomous Agents at Work: From OpenClaw Hype to Enterprise Reality

May 19, 202642m

Pramod Krishnan is a Managing Director - AI Managed Services at PwC, specializing in enterprise AI transformation — helping large organizations move from AI experimentation to production operating models. In this episode

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Agents are Just While Loops

May 15, 202641m

Hamza Tahir , co-founder of ZenML, joins the show to cut through the hype around long-running agents — arguing that at the end of the day, an agent is just a while loop that talks to a model, calls a tool, and writes to

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The Latency Goldilocks Zone Explained

May 12, 202648m

Rafael (Head of Innovation, iFood) and Daniel (Data and AI Manager, iFood) pull back the curtain on ILO-Agent — iFood's conversational AI ordering system built for 200 million users across Latin America. Recorded live at

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Building MCP Before MCP Existed: Inside Despegar's Sofia Agent

May 8, 202641m

Nicolas Alejandro Bogliolo is the AI PM at Despegar, the largest online travel agency in Latin America, and the engineer-product-hybrid behind Sofia, the GenAI travel concierge that beat most of the OTA world to a workin

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Voice Agent Use Cases

May 1, 202651m

This episode is brought to you by the MLflow team. Check out more information at MLflow.org . What does it actually take to build voice AI at a billion-interaction scale? This episode features an ex-Amazon voice AI engin

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The Creator of Superpowers: Why Real Agentic Engineering Beats Vibe Coding

Apr 24, 20261h 6m

Jesse Vincent is the Founder & CEO of Prime Radiant and creator of Superpowers — the most-used Claude Code plugin in the world. He built the first agentic software development methodology from scratch while managing MIT

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It's 2026, and We're Still Talking Evals

Apr 21, 202640m

Maggie Konstanty is an AI Product Manager at Prosus , one of the world's largest consumer internet companies, where she builds and evaluates AI agents for food ordering and ecommerce at scale. She's been inside the messy

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Why Agents are Driving Software Development to the Cloud

Apr 17, 202651m

This episode is brought to you by Hyperbolic and the MLflow team. Check out more information at hyperbolic.ai and MLflow.org . Why AI Coding Agents Are Moving to the Cloud — With Zach Lloyd, CEO of Warp Zach Lloyd is the

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The Modern Software Engineer

Apr 14, 202653m

This episode is brought to you by the MLflow team. Check out more information at MLflow.org . Mihail Eric is Head of AI at Monaco and Adjunct Lecturer at Stanford University, where he teaches CS146S: "The Modern Software

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We Cut LLM Latency by 70% in Production

Apr 10, 20261h 5m

Maher Hanafi is an engineering leader who went from zero AI experience to self-hosting LLMs at enterprise scale — managing GPU costs, optimizing inference with TensorRT LLM, and building an AI platform for HR tech. In th

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Getting Humans Out of the Way: How to Work with Teams of Agents

Apr 7, 202650m

Rob Ennals is the creator of Broomy, an open-source IDE designed for working effectively with many agents in parallel. He previously worked at Meta, Quora, Google Search, and Intel Research. He has a PhD in Computer Scie

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Fixing GPU Starvation in Large-Scale Distributed Training

Apr 3, 202652m

Kashish Mittal 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 // MLOps Podcast #367 with Kashis

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Spec Driven Development, Workflows, and the Recent Coding Agent Conference

Mar 31, 202659m

Jens Bodal is a Senior Software Engineer II working independently, focusing on backend systems, software architecture, and building scalable solutions across client projects. This One Shift Makes Developers Obsolete // M

Show notes

Operationalizing AI Agents: From Experimentation to Production // Databricks Roundtable

Mar 30, 20261h 1m

Databricks Roundtable episode: Operationalizing AI Agents: From Experimentation to Production. Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter MLOps GPU

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arrowspace: Vector Spaces and Graph Wiring

Mar 27, 202656m

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. arrowspace: Vector Spaces and Graph Wiring // MLOps Podcast #365 with Lore

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Agentic Marketplace

Mar 20, 202651m

Donné Stevenson is a Machine Learning Engineer at Prosus, working on scalable ML infrastructure and productionizing GenAI systems across portfolio companies. Pedro Chaves is a Data Science Manager at OLX Group, working o

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Audience demographics

Age
22-44
Consumer type
Tech professionals

Topics covered

technology

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Frequently asked questions

How do I pitch MLOps.community as a podcast guest?

MLOps.community has a verified contact on file. Create a free PitchCentric account to access it and generate a personalised pitch in seconds. Research at least 3 recent episodes first and lead with a specific angle that serves their technology audience.

Who is the host of MLOps.community?

MLOps.community is hosted by Demetrios. The show is categorised under technology and has published 523 episodes.

How many episodes does MLOps.community have?

MLOps.community has published 523 episodes.

What topics does MLOps.community cover?

MLOps.community regularly covers technology. It sits in the technology category.

Is it hard to get booked on MLOps.community?

MLOps.community is accessible for guests with genuine technology expertise. A personalised, episode-aware pitch will still outperform a generic one every time.

Is MLOps.community currently accepting guest pitches?

MLOps.community hasn't explicitly signalled guest openness in recent episodes. That doesn't rule out pitching. your hook just needs to be especially compelling and relevant to their recent content.

How long are MLOps.community episodes?

Episodes of MLOps.community average 51 minutes. a focused format where a clear narrative arc and tight preparation matter most.

What guest credentials does MLOps.community typically look for?

Our data rates MLOps.community's guest bar at 80/100 (Premium tier). Established thought leaders with verified media credentials. Sign in to PitchCentric to see how your own Pod Score compares against this show.

Methodology. Booking Probability™ blends Listen Score, 30-day Virality, open-to-guests detection, and Apple ratings. Data refreshed every 60 minutes. Listen Score and Booking Probability are calculated by PitchCentric. Last enriched 12 days ago.

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