Nikhil Rana

Nikhil Rana

Senior Technical Solutions Consultant, AI

Google

Nikhil is an applied data science professional with over a decade of experience developing and implementing Machine Learning, Deep Learning, and NLP-based solutions for various industries, such as Finance and FMCG. He is passionate about using data science to solve real-world problems and is always looking for new ways to use data to positively impact the world.

The rapid growth of AI agents presents a significant challenge to building truly collaborative and scalable AI systems. This talk will introduce two complementary open protocols: Google's Agent-to-Agent (A2A) Protocol and Anthropic's Model Context Protocol (MCP). We'll explore how MCP enables individual AI models to seamlessly access and utilize external tools and data, while A2A facilitates robust communication and coordination among diverse AI agents. Through practical use cases and a concise demonstration, attendees will learn how the synergy of A2A and MCP addresses key interoperability challenges, fosters modularity, and paves the way for building sophisticated, multi-agent ecosystems in enterprise and beyond.

Read More

Managing and scaling ML workloads have never been a bigger challenge in the past. Data scientists are looking for collaboration, building, training, and re-iterating thousands of AI experiments. On the flip side ML engineers are looking for distributed training, artifact management, and automated deployment for high performance

Read More

Managing and scaling ML workloads have never been a bigger challenge in the past. Data scientists are looking for collaboration, building, training, and re-iterating thousands of AI experiments. On the flip side ML engineers are looking for distributed training, artifact management, and automated deployment for high performance

Read More