Sandeep Mannapur is a senior AI & ML Engineering executive with over 15 years of experience leading the design and delivery of enterprise-scale data and artificial intelligence platforms. Currently serving as VP of Software Engineering, Analytics, and Data Platform at JPMorgan Chase, he drives the strategy and execution of scalable, cloud-native data ecosystems that enable real-time analytics, AI model governance, and advanced decision intelligence across complex, highly regulated environments.
Sandeep brings deep expertise in generative AI, Large Language Models (LLMs), and advanced data engineering. He has architected and deployed enterprise-grade LLM solutions leveraging Azure OpenAI and AWS Bedrock, implemented retrieval-augmented generation (RAG) frameworks, and established robust model observability practices using tools such as Evidently AI and Arthur AI. His leadership has resulted in measurable outcomes, including significant reductions in data processing times, improved compliance through proactive drift detection, and enhanced platform reliability through end-to-end telemetry and monitoring frameworks.
With a strong foundation in distributed systems and big data technologies, Sandeep has built high-throughput data pipelines using Spark, Kafka, and AWS-native services, while implementing modern architectural patterns such as CQRS, event sourcing, and data mesh to ensure scalability and governance. An AWS Certified Big Data – Specialty and AWS Certified Solutions Architect, he combines strategic vision with hands-on technical depth, leading cross-functional teams to deliver resilient, secure, and innovation-driven AI solutions that create sustained enterprise value.