Deepam Shah is a software engineer with 10 years of hands-on experience building integrations and automation across enterprise and cloud platforms, currently contributing to Team Chat Integrations at Zoom. He has strong backend and automation chops demonstrated by roles at Goldman Sachs, Infostretch, and internships where he automated test pipelines and containerized Python environments for geospatial workflows. His background in computer vision and geospatial deep learning from RIT and Esri gives him a rare blend of ML-aware engineering and production-grade system design. Based in Dallas, he brings a pragmatic, CI/CD-first approach to shipping features reliably at scale and has a track record of turning repetitive manual processes into nightly automated workflows.
10 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Rochester Institute of Technology
Schooling, School Education, Schooling, School Education at St. Xavier's High School, Gandhinagar
Bachelor’s Degree, Information and Communication Technology, Bachelor’s Degree, Information and Communication Technology at Ahmedabad University
Contributions:52 commits, 47 pushes, 1 branch in 4 days
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