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Sanathraj Narayan

Senior Data Scientist

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Sanath Raj is a seasoned AI/ML professional with over a decade of experience in this field. Currently working as a Senior Data Scientist at Ericsson, Sanath leads a dynamic team dedicated to developing and industrializing machine learning models.

Sanath's robust consulting background, honed during his tenure at KPMG and Mindtree, has been focused on the retail market /CPG through machine learning. His consistent demonstration of passion for innovation in the ML domain will inspire. Sanath's expertise extends to teaching and mentoring. Outside of work, he is an avid learner and enjoys exploring new technologies and methodologies in this space.

This session on LangChain covers from the basics to advanced implementations. Participants will start with an introduction to LangChain. The session will explore creating and using prompt templates, building simple and sequential chains, and implementing LangChain agents. It will demonstrate tool usage, embedding strategies, working with vector databases, and advanced topics. This session on LangChain covers from the basics to advanced implementations. Participants will start with an introduction to LangChain. The session will explore creating and using prompt templates, building simple and sequential chains, and implementing LangChain agents. It will demonstrate tool usage, embedding strategies, working with vector databases, and advanced topics. 

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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
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