Divya Kannan is a pragmatic software engineer with 8 years of experience building AI-driven products and data systems, currently contributing as an SDE at AWS after leading backend and architecture efforts at Pypestream. She combines hands-on Python development, RESTful API design, and Postgres expertise with cloud-native deployments on AWS and GCP to automate customer-resolution workflows and keep production systems resilient. Her background in data science and advanced analytics—from redesigning decades-old aviation databases and spatial analyses to building CNN-based image detection at BMW—lets her bridge ML models and reliable production services. Known as the go-to resolver for production incidents, she has a track record of cutting process time and errors (e.g., 70% reduction in spare-parts pricing workflows) while mentoring teams and driving scalable design decisions.
8 years of coding experience
10 years of employment as a software developer
Master’s Degree Computer Science, Master’s Degree Computer Science at Clemson University
Bachelor of Engineering - BE Computer Software Engineering, Bachelor of Engineering - BE Computer Software Engineering at Saurashtra University, Rajkot
Contributions:13 pushes, 1 branch in 1 year 1 month
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