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Why We’re Here

This space exists to connect, collaborate, and give back!

We believe that technology thrives when knowledge is shared. Our goal is to bring together curious, driven individuals who are passionate about solving real-world problems at scale.  Whether it's building resilient platforms, designing intelligent systems, or exchanging lessons learned—this group is where we grow by learning from one another.

We’re here to spark engaging conversations, share our expertise, and collaborate on ideas that can shape the future of tech—especially in the high-impact world of sports and gaming.

Who We Are:

We are EntainIndia—the technology think-tank of Entain Group, one of the world’s largest digital gaming companies. With more than 35 iconic brands, serving millions across globe.
Established in 2001, EntainIndia has evolved from a small tech hub into a global technology force, delivering services that process billions of transactions for users across continents.

At the core of our work is scale—designing technology that powers global experiences, all while supporting Entain’s mission to lead the change in the sports and gaming sector.

Upcoming events

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  • AI can generate code, can it generate architectural wisdom? (in-person, Pune)

    AI can generate code, can it generate architectural wisdom? (in-person, Pune)

    Entain India Pune (Formerly IvyComptech), 3rd Floor, Tablespace, Tower B, Panchsheel Business Park, Phase 2, Baner, Pune, Maharashtra 411045, Pune, IN

    Audience registration here. (Please don't RSVP in meetup.com)
    🗣 Submit your Talk here (you can submit for future meetups later this year as well, not just this)
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    When AI Writes the Code, Who Designs the System?

    AI coding tools can now generate functions, services, and sometimes entire repositories in seconds. Writing code is becoming easier and faster than ever.
    But good systems are not just code.

    Architecture — defining system boundaries, data flows, failure modes, operational constraints, and long-term maintainability — still requires engineering judgement and a holistic view of the system. In fact, as AI generates more code, architecture becomes even more critical. Missing context, unclear constraints, or weak guardrails can quickly lead to fragile systems at scale.

    > For this edition of TechBrews, we want to explore how teams are thinking about system design and architecture in the era of AI-assisted engineering.

    We're looking for talks on topics such as:

    • Designing systems when AI generates large portions of the implementation
    • Architecture guardrails for AI-assisted development
    • Preventing fragile systems caused by missing context in AI-generated code
    • How system design practices evolve when code becomes cheap
    • Code review and governance in the AI coding era
    • Engineering workflows that combine AI productivity with architectural rigor
    • Where AI helps — and where engineering judgement is still critical
    • Any strong architecture or system design topic with practical takeaways — AI-related or otherwise

    We especially welcome real-world experiences, lessons learned, and practical approaches from teams building and operating production systems.

    🗣 Submit your Talk here
    📍 Pune (in-person)
    📅 Date: Tentative of mid April

    Audience registration here. (Please don't RSVP in meetup.com)

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