Summary
Chinmayee Rane is a Worldwide Generative AI ML Solutions Architect at AWS with 9 years of experience applying machine learning, computer vision, NLP and agentic AI to enterprise and public-sector problems. She designs scalable generative AI and intelligent document processing solutions for ISVs and verticals like FSI, HCLS and PubSec, leveraging deep hands-on work with Amazon Rekognition, Textract and Comprehend. With dual degrees in Computer Science and Applied Mathematics from University at Buffalo, she pairs production-focused engineering with rigorous quantitative instincts and a long-term aspiration for PhD-level research. Based in Chicago, she brings a research-minded curiosity—evident from academic projects like ChartReader—and a track record of translating novel ML ideas into deployable AWS architectures.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at University at Buffalo