Prashanth Kurella is a Software Development Engineer at Amazon Last Mile with eight years of experience building production-grade microservices and ML-driven tooling for route optimization and delivery costing. He combines backend Java services and Python ML pipelines on AWS to cut simulation analysis time from 72 to 3 hours and to serve XGBoost-powered route cost estimates used across route planners. His background spans applied research—developing deep sequence models for statin adherence and a multi-arm clinical trial simulator—to product-focused roles at Postman and as a deep learning educator for Weights & Biases. Comfortable across Kubernetes, AWS Batch/Lambda/Step Functions, and PyTorch, he moves models from notebooks into scalable services. Notably, he has both prototyped model-error attribution tooling and contributed reproducible transformer examples adopted in product docs, showing a blend of research rigor and production impact. Based in Seattle, he’s passionate about 3D vision, robotics, and reinforcement learning as avenues for practical automation.
8 years of coding experience
2 years of employment as a software developer
BTech - Bachelor of Technology, Computer Science, BTech - Bachelor of Technology, Computer Science at NIIT University
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Minnesota
Predicting the survival rate of a horse using the given date set.
Contributions:3 PRs, 31 pushes, 2 branches in 1 year 9 months
statisticshorsesurvivalmachine-learning
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Prashanth Kurella - Software Development Engineer at Amazon