Sanjay Jha
GenAI Architect / CCCL Bangalore Lead Representative
Bengaluru, India
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Sanjay Jha is an AI/Cloud Architect with deep expertise in Generative AI, Agentic AI, multi-agent frameworks, and cloud-native engineering. With strong hands-on experience across AWS, Kubernetes, DevOps, and machine learning systems, he focuses on building production-grade AI platforms and accelerating enterprise adoption of intelligent automation.
Leading CCCL Bangalore, where we are building a vibrant claude community around AI engineering, Claude Code, and modern developer workflows.
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From RAG to Agentic RAG: Building Intelligent, Autonomous GenAI Systems
This talk demystifies the evolution from traditional Retrieval-Augmented Generation (RAG) to Agentic RAG. We’ll explore how static, single-step retrieval systems are giving way to autonomous, goal-driven AI agents capable of planning, reasoning, tool usage, and self-correction. Through real-world architectures and design patterns, attendees will learn how to build scalable, secure, and enterprise-ready GenAI systems using Agentic RAG.
Agentic AI, Multi-Agent Systems & Model Context Protocol (MCP)
Agentic AI is the next evolution of LLMs, enabling models not just to respond but to plan, take actions, use tools, and learn from interactions. Multi-Agent Systems extend this by allowing multiple specialised agents—planners, researchers, coders, reviewers—to collaborate and solve complex tasks with higher accuracy and scalability. Model Context Protocol (MCP) provides the open standard that connects these agents to tools, APIs, and data securely and consistently across platforms. Together, Agentic AI, Multi-Agent collaboration, and MCP enable powerful, autonomous, and production-ready AI workflows for research, coding, automation, and enterprise applications
Cloud-Native AI Platforms: Running Agentic AI on Kubernetes at Enterprise Scale
this session explores how enterprises can move from experimental AI agents to production-grade, cloud-native AI platforms. We will look at how Kubernetes, microservices, and event-driven architectures enable the orchestration, scaling, and governance of multi-agent systems. The talk covers key challenges such as agent lifecycle management, memory, tool execution, observability, and cost control. Attendees will learn how to design secure, resilient, and compliant AI platforms using modern cloud and DevOps practices. Real-world architecture patterns and lessons from enterprise environments will be shared to help teams run Agentic AI reliably at scale.
TechMang 2026 Sessionize Event
Agentic AI Connect -Bengaluru Sessionize Event
Sanjay Jha
GenAI Architect / CCCL Bangalore Lead Representative
Bengaluru, India
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