​Join us on 30th May in Bangalore for an evening focused on modern AI infrastructure and the systems powering the next generation of AI applications.

​Whether you are working with GPUs, building LLM platforms, scaling inference workloads, optimizing Kubernetes for AI, MCP or just getting started with AI infrastructure, this meetup is for you.

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​Agenda:

​10:15 AM to 10:30 AM: Opening Note

​10:30 AM to 11:00 AM: Building AI Factory (By Saiyam Pathak)

​11:00 AM to 11:45 AM: Transitioning from Traditional Software Engineering to AI Engineering (By Rajesh Kumar, Manas Mayank)

​11:45 AM to 12:15 PM: Beyond vLLM: Choosing the Right Inference Engine for Open Models ( Rudraksh Karpe )

​12:15 PM to 12:45 PM: Identity Propagation in MCP: OBO, Multi-Hop Chains, and the Trust Problem (By Ruchika Suryawanshi, Hrittik Roy)

​12:45 PM to 01:00 PM: Community Activity & Networking

​01:00 PM to 01:30 PM: Engineering Enterprise Serverless Data Agents (By Shuva Jyoti Kar)

​01:30 PM to 02:00 PM: From Noisy Logs to Actionable Insights: AI-Assisted Observability with Fluent Bit, OpenSearch & RAG (By Jeevitha G)

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​Expect deep technical discussions, networking with engineers and builders, and conversations around:
• LLM infrastructure
• GPU workloads and optimization
• Kubernetes for AI
• Inference at scale
• AI platform engineering
• Open source AI tooling
• Real-world production learnings

​If you want to learn more about how modern AI systems are built and scaled, come join the community.