Chinmayee Rane

Worldwide Generative AI ML Solutions Architect

Chicago, Illinois, United States
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Summary

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Senior
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Top School
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.
code9 years of coding experience
job6 years of employment as a software developer
bookBachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at University at Buffalo
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Github Skills (22)

photoshop9
inline-styles8
react-component8
sketch8
adobe-xd7
chrome6
twitter6
react5
xyz5
rsi4
forecast4
risk-management3
color-picker3
edgar3
sec3

Programming languages (6)

C#CSSJavaScriptJupyter NotebookPythonKotlin

Github contributions (5)

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Cvrane/VelocityCG

Jul 2020 - Jul 2024

OCR Project for Velocity Capital Group
Contributions:1 PR, 12 pushes, 1 branch in 4 years
velocitycapitalocr
Cvrane/Cvrane

Aug 2020 - Mar 2022

Contributions:26 pushes, 1 branch in 1 year 7 months
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Chinmayee Rane - Worldwide Generative AI ML Solutions Architect