Poorav Desai is a technical product thinker and engineer with eight years of experience building cloud-native systems, automation, and machine learning solutions across enterprise and academic settings. He has driven cost and reliability improvements at Oracle by building failure attribution and runtime dependency-switching features for a global deployment automation service, and designed automation that saved finance teams ~40 hours/month at Kaspar Companies. Comfortable in Java, Python, Docker, Terraform, and Azure, he blends hands-on implementation with stakeholder-aligned product scope and measurable operational impact. As a graduate teaching assistant at Texas A&M, he translates complex cloud and data topics into accessible learning for diverse students while continuing graduate study in Management Information Systems. His background in AI research and an ALPR deep-learning project reveals a practical curiosity for applying ML to real-world problems. Equally at ease in code and product conversations, he focuses on solutions that reduce toil and improve observability at scale.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Management Information Systems, General, 3.83, Master of Science - MS, Management Information Systems, General, 3.83 at Texas A&M University
Master of Technology - MTech, Artificial Intelligence, Master of Technology - MTech, Artificial Intelligence at Indraprastha Institute of Information Technology, Delhi
Bachelor of Engineering - BE, Computer Engineering, Bachelor of Engineering - BE, Computer Engineering at L.D College of Engineering - Ahmedabad
Contributions:8 commits, 8 pushes, 2 comments in 8 months
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