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MLOps.community

MLOps.community

Written by: Demetrios
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 Relaxed Conversations around getting AI into production, whatever shape that may come in (agentic, traditional ML, LLMs, Vibes, etc)Demetrios
Episodes
  • Leadership on AI

    Leadership on AI
    Jan 13 2026
    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.Mert Öztekin is the Chief Technology Officer at Just Eat Takeaway.com, working on advancing the company’s platform with AI-driven ordering and personalised user experiences, scaling cloud and generative AI tooling for engineering productivity, and exploring innovative delivery technologies like automation to make ordering and delivery more seamless. Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletterMLOps GPU Guide: https://go.mlops.community/gpuguide// AbstractAgents sound smart until millions of users show up. A real talk on tools, UX, and why autonomy is overrated.// BioEuro Beinat Euro is a technology executive and entrepreneur specializing in data science, machine learning, and AI. He works with global corporations and startups to build data- and ML-driven products and businesses. His current focus is on Generative AI and the use of AI as a tool for invention and innovation.Mert ÖztekinMert is the current Chief Technology Officer at Just Eat Takeaway.com with previous experience as a CTO at Delivery Hero Germany GmbH, Director of Engineering at Delivery Hero, and IT Manager at yemeksepeti.com. They have a background in software engineering, system-business analysis, and project management, with a master's degree in Computer Engineering. Mert has also worked as an IT Project Team Lead and has experience in managing mobile teams and global expansions in the online food ordering industry.// Related LinksWebsite: https://www.prosus.com/Website: https://justeattakeaway.com/~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our Slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]MLOps GPU Guide: https://go.mlops.community/gpuguideConnect with Demetrios on LinkedIn: /dpbrinkmConnect with Euro on LinkedIn: /eurobeinat/Connect with Mert on LinkedIn: /mertoztekin/
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    47 mins
  • Computers that Think and Take Actions for You

    Computers that Think and Take Actions for You
    Jan 2 2026

    Zengyi Qin is the Founder of the OpenAGI Foundation, working on computer-use models and open, agent-centric AI infrastructure.


    Computers that Think and Take Actions for You, Zengy Qin // MLOps Podcast #355


    Join the Community:

    https://go.mlops.community/YTJoinIn

    Get the newsletter: https://go.mlops.community/YTNewsletter

    MLOps Merch:

    https://shop.mlops.community/


    // Abstract

    What if the computer itself can think and take actions for you? You just give it a goal, and it performs every click, type, drag, and gets work done across the desktop and web. In this talk, Zengyi reveals the breakthrough technology that his company OpenAGI is developing: AI that can use computers like humans do. He talks about how his team developed the model, why it outperforms similar models from OpenAI and Google, and its wide use cases across different domains.


    // Related Links

    Website: https://www.qinzy.tech/


    ~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~

    Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExplore

    Join our Slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)]

    Sign up for the next meetup: [https://go.mlops.community/register]

    MLOps Swag/Merch: [https://shop.mlops.community/]


    Connect with Demetrios on LinkedIn: /dpbrinkm

    Connect with Zengyi on LinkedIn: /qinzy/


    Timestamps:

    [00:00] AI and Human Interaction

    [00:30] Zengyi's story

    [08:19] Why Expensive Models Lost

    [06:30] Bigger Models Are Lazy

    [10:24] Training Computer-Use vs LLMs

    [13:53] World Models and Sandboxes

    [19:42] Dealing with Non-Stationary States

    [23:56] Training with Software

    [26:44] Sandbox Training Process

    [41:33] Infrastructure for Computer Models

    [44:36] Wrap up
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    45 mins
  • Real time features, AI search, Agentic similarities

    Real time features, AI search, Agentic similarities
    Dec 28 2025

    Varant Zanoyan is the Co-founder & CEO at Zipline AI, working on building a next-generation AI/ML infrastructure platform that streamlines data pipelines, model deployment, observability, and governance to accelerate enterprise AI development.


    Nikhil Simha Raprolu is the Co-founder & CTO at Zipline AI, focused on architecting and scaling the company’s AI data platform — extending the open-source Chronon engine into a developer-friendly system that simplifies building and operating production AI applications.


    Real-time features, AI search, Agentic similarities, Varant Zanoyan & Nikhil Simha Raprolu // MLOps Podcast #354


    Join the Community:

    https://go.mlops.community/YTJoinIn

    Get the newsletter: https://go.mlops.community/YTNewsletter

    MLOps Swag/Merch:

    [https://shop.mlops.community/]

    And huge thanks to Chroma for hosting us in their recording studio

    // Abstract

    Feature stores might be the wrong abstraction. Varant Zanoyan and Nikhil Simha Raprolu explain why Cronon ditched “store-first” thinking and focused on compute, orchestration, and real-time correctness—born at Airbnb, battle-tested with Stripe. If embeddings, agents, and real-time ML feel painful, this episode explains why.


    // Related Links

    Website: https://zipline.ai/


    ~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~

    Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExplore

    Join our Slack community [https://go.mlops.community/slack]

    Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)]

    Sign up for the next meetup: [https://go.mlops.community/register]

    MLOps Swag/Merch: [https://shop.mlops.community/]


    Connect with Demetrios on LinkedIn: /dpbrinkm

    Connect with Varant on LinkedIn: /vzanoyan/

    Connect with Nikhil on LinkedIn: /nikhilsimha/


    Timestamps:

    [00:00] Feature Platform Insights

    [02:00] Zipline and Feature Stores

    [05:19] Cronon and Zipline Origins

    [10:49] Feast and Feather Comparison

    [13:27] Open source challenges

    [20:52] Zipline and Iceberg Integration

    [23:54] Airbnb Agent Systems

    [28:16] Features vs Embeddings

    [29:07] Wrap up
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    29 mins
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