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Conversational and Contextual Observability Logo

Mani Nagaraj

Lead Software Engineer

JPMorgan Chase

Conversational and Contextual Observability

Summit Producer's Highlight

The Engineering Platform and Integrated Experience team at JPMC tells their story about how they boosted developer productivity with LLMs. Leveraging metrics, traces, and logs, along with other data, they produced a self-service, natural language interface that assists developers, CI/CD engineers, product managers, and other stakeholders in rapidly discovering and applying insights to many sorts of queries.

Summit Producer's Highlight

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About the session

The Engineering Platform and Integrated Experience team at JPMC tells their story about how they boosted developer productivity with LLMs. Leveraging metrics, traces, and logs, along with other data, they produced a self-service, natural language interface that assists developers, CI/CD engineers, product managers, and other stakeholders in rapidly discovering and applying insights to many sorts of queries.

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A self service application to deliver faster insights to developers on their CI/CD pipelines

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 JPMorgan Chase

Who is Mani Nagaraj?

Full stack machine learning engineer turning data into insights and actionable strategies in Consumer Lending, Direct & Digital Media Marketing, CRM, ERM and Retail Supply Chain Optimization. Adept in DevOps, model governance, designing and implementing novel AI/ML solutions in Fraud to advance internal risk management practice using Cloud Platforms and legacy environments.