Desik Rengarajan is an Applied Scientist with a decade of experience building production-ready ML and agentic AI systems across industry and research teams. Currently on the Quick Suite team within AWS’s Agentic AI org, he brings applied research chops from Amazon Ads Science and Hewlett Packard Enterprise plus a PhD in Computer Engineering from Texas A&M. His background includes prototyping RL solutions at Microsoft Research and Nokia Bell Labs for real-world applications like slide design and 5G network slicing, reflecting a focus on turning advanced algorithms into practical features. Based in San Francisco, he combines rigorous academic training with hands-on product delivery at scale, and often bridges the gap between exploratory research and deployable ML pipelines.
10 years of coding experience
8 years of employment as a software developer
Bachelor’s Degree Electrical Electronics and Communications Engineering, Bachelor’s Degree Electrical Electronics and Communications Engineering at PES University
Doctor of Philosophy - PhD Computer Engineering, Doctor of Philosophy - PhD Computer Engineering at Texas A&M University
Contributions:11 commits, 10 pushes, 1 branch in 12 days
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Desik Rengarajan - Applied Scientist II at Amazon Web Services (AWS)