Animesh Srivastava is a hands-on VP of GenAI and Applied ML with 9 years’ experience architecting and shipping scalable AI products across healthcare and finance. He combines deep expertise in core ML, deep learning and LLMs with practical MLOps—designing production pipelines on AWS, Kubernetes and SageMaker that serve thousands to millions of users. He has led end-to-end programs from data platforms and feature stores to model monitoring and automated retraining, and recently focuses on building AI agents for complex enterprise use cases. Notable projects include explainable deep models for dementia detection from MRI and a unified drift-monitoring solution spanning tabular, image, text and LLM signals. Animesh pairs technical leadership and stakeholder strategy with active open-source tinkering and electronics DIY interests, reflecting a maker’s mindset that favors pragmatic, reproducible systems. Based in Bengaluru, he scales teams and systems to turn experimental models into reliable, auditable production services.
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