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Gaurav Agarwal

Founder and CEO

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Gaurav Agarwal is the Founder and CEO of RagaAI, a leading AI testing platform. With over 15 years of experience in the AI industry, he is a recognized thought leader in the field. Before founding RagaAI, Gaurav was the vice president & head, SW product, engineering & AI of Ola Electric Mobility and held key positions at NVIDIA, Texas Instruments, and OLA. He earned his undergraduate degree from IIT Kanpur, an MS from the University of Maryland, and an MBA from the Texas McCombs School of Business.

In this talk, you will understand how to gain a competitive edge and integrate LLMs to boost efficiency and customer value by leveraging intelligent chatbots for support, automating content generation, and enhancing code assistance. This increases productivity, allowing teams to innovate and focus on strategic goals. LLMs also improve customer experience through personalized interactions, enhancing satisfaction and conversion rates. Address risks proactively by acknowledging LLM limitations, such as biases and inaccuracies, and implementing mitigation strategies. 

Learn to prioritize data security and continuously monitor outputs to detect and correct harmful content. Performance is crucial, with LLM speed and accuracy impacting user experience. Choose and fine-tune models based on specific business needs and ensure scalability to maintain performance as demand grows, appealing to investors.

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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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