Summary
Rushin Naik is a Software Development Engineer at Amazon with nine years of experience building scalable backend systems and machine learning-driven products, currently focused on AWS Kinesis for Fire TV experiences. He brings a strong ML/NLP background from prior roles where he built LSTM models for ad spend prediction, CNN-based sentence classifiers, intent classification, and knowledge-graph pipelines, alongside production Java Spring Boot services and ETL automation. Comfortable across Python and Java, Rushin has full-stack expertise in cloud platforms (AWS, GCP), data engineering, and model deployment, and has repeatedly delivered end-to-end solutions from research to production. Based in New York, he pairs deep technical craft with a practical record of shipping features that optimize ROI and user experience—an example being an automated sync module for Google DoubleClick that streamlined campaign creation.
10 years of coding experience
3 years of employment as a software developer
San José State University
A.G. High School
Science (Mathematics Stream), Science (Mathematics Stream) at A-One School
Bachelor’s Degree, Computer Engineering, Bachelor’s Degree, Computer Engineering at Gujarat Technological University, Ahmedabad
English, Hindi, Gujarati