Aman Lonare is an AI researcher and engineer based in Tokyo with 9 years of experience building cloud-native, edge-enabled ML systems that move research into production. He has architected high-throughput ML platforms serving 500K+ users and processing over a million daily predictions, and reduced model deployment cycles from days to hours via pragmatic MLOps on AWS SageMaker. His background spans distributed data management and event-driven microservices (CQRS/Event Sourcing) from R&D at Hitachi to applied generative AI, autonomous agents, and mobile-first ML for Flutter apps. Aman’s research on satellite imagery for village-level crop yield prediction demonstrates a rare combination of domain science and production engineering that directly benefits farmers. Practical and experimental, he blends hierarchical edge inference, cost-optimized deployments, and advanced prompt engineering to deliver measurable business and societal impact.
Contributions:3 PRs, 7 pushes, 12 branches in 7 months
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