Summary
Nidhi Ranjan is a Machine Learning Engineer with nine years of software and ML experience, currently building ML systems at Meta after contributing to AI-driven finance products at Bloomberg. She combines production engineering chops—CI/CD, Snowflake migrations, Spring Boot services—with applied ML expertise from industry and research, including transfer learning for medical imaging and automated ETL for pharma data. Her background ranges from scaling critical banking features at Barclays during COVID relief to improving user safety and ranking algorithms on Messenger, showing fluency across backend systems, data pipelines, and model deployment. A soon-to-graduate NYU MSCS student originally from NIT Goa, she brings a pragmatic, research-informed approach and a track record of shipping measurable product impact at large organizations.
9 years of coding experience
6 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at New York University
Bachelor of Technology Computer Science and Engineering, Bachelor of Technology Computer Science and Engineering at National Institute of Technology, Goa
HSSC Computer Science, HSSC Computer Science at Navy Children School Goa
Sanskrit, Hindi, English