Summary
Divya Manivannan is a data scientist and software engineer with nearly a decade of professional experience, blending backend systems expertise from IBM with academic AI research at NYU. She has applied deep learning and computer vision to security problems—improving out-of-distribution detection for backdoor samples to 95% accuracy—while also optimizing large-scale experiment pipelines to halve GPU run times. Her engineering background includes designing scalable backend systems and cloud migration proposals for AR-driven library services, plus high-throughput PL/SQL work supporting 400K daily transactions. Based in Olathe, KS, she pairs rigorous research instincts with pragmatic production experience, and she’s equally driven by continuous learning and disciplined deep work.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MS Computer Engineering, Master of Science - MS Computer Engineering at New York University
Bachelor of Technology - BTech Electronics and Communications Engineering, Bachelor of Technology - BTech Electronics and Communications Engineering at Indian Institute of Information Technology, Design and Manufacturing, Jabalpur
English, Tamil, Hindi, Telugu