Summary
Jay Shah is a software engineer with nine years of experience building large-scale systems and production AI, currently working as an SDE II on AWS Rekognition's computer vision team in Seattle. He has a strong backend and data engineering background from roles at Amazon (finance automation) and Charles Schwab, handling billions of records across Redshift, S3, EC2 and ETL pipelines. Trained in deep learning and computer vision through multiple Udacity nanodegrees and an MS in Computer Science (3.9 GPA), he blends practical ML knowledge with production-grade engineering. Outside of core product work he has taught ML concepts via a YouTube channel and delivered measurable impact earlier in his career—such as increasing app downloads by 50% during an Android internship—demonstrating a knack for both technical depth and user-focused outcomes.
9 years of coding experience
3 years of employment as a software developer
Undergraduate's Degree, Computer Science, 4.0/4.0 GPA, Undergraduate's Degree, Computer Science, 4.0/4.0 GPA at Arizona State University