I'm a Staff Software Engineer at Netflix, working on the Model Inference Platform. It's the system that serves ML predictions across Netflix for things like recommendations, search, ads, and personalization.

Before Netflix, I spent four years at Amazon building distributed systems. I also built Amazon Gather on the side during the pandemic - a virtual events platform that got picked up across the company and ended up winning me the Just Do It Award from Jeff Bezos. Before that, I was at Morgan Stanley and interned at Goldman Sachs.

I did my M.S. in Computer Science at NC State, where I worked on Machine Learning, NLP, and Computer Vision. B.Tech. from VNIT, India.

Outside of work I like skating, board games, reading, and tinkering with side projects. Always happy to chat - feel free to reach out.

Research

Two peer-reviewed publications from grad school. Full profile on Google Scholar.

Deep Learning + Student Modeling + Clustering: a Recipe for Effective Automatic Short Answer Grading

Yuan Zhang, Rajat Shah, and M. Chi

The 9th International Conference on Educational Data Mining (EDM 2016)

Towards Automatic Linkage of Analyst's Claims with Associated Evidence from Screenshots

Paul Jones, Dakota Medd, Sreekanth Ramakrishnan, Rajat Shah, Joann Keyton, Nagiza F. Samatova

IEEE International Conference on Big Data Service (BigDataService 2017)

Research stints at the Laboratory for Analytic Sciences (Fall 2016) on desktop screenshot analysis (image analysis, OCR, text analysis), and at the Center for Educational Informatics, NC State (2015–2016) under Dr. Min Chi, building models for Automatic Short Answer Grading in Intelligent Tutoring Systems.

Get in touch

Or email me at hi@shahrajat.com.