Summary
Shridhar Mishra is a Machine Learning Engineer II at Amazon focusing on Just Walk Out technology, with 12 years of engineering experience and an MS in Computer Science from Oregon State University. He combines research-grade expertise in hand detection, pose estimation, and tracking with production engineering skills—rewriting research code into a tested inference library, integrating models with data platforms, and automating post-launch performance analysis. His work has driven measurable business impact, from an 88x model-size reduction and major cost savings using LGBM to improving model KPIs via hyperparameter and dataset experiments. Comfortable across the stack, he has deployed scalable SageMaker inference pipelines, debugged quantized DL models in pilot deployments, and bootstrapped analytics projects that scaled into engineering products. He has published multiple peer-reviewed papers and holds a Deep Learning Specialization, reflecting a blend of academic rigor and operational delivery. Based in Seattle, he brings a pragmatic research-to-production mindset that surfaces non-obvious gains—like reverse-engineering normalization parameters to validate model parity across branches.
12 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Oregon State University
Bachelor of Engineering (BE), Computer Science, Bachelor of Engineering (BE), Computer Science at Sir M. Visvesvaraya Institute of Technology
English, Hindi, Odia