Summary
Ayushi Dutta is a PhD researcher and applied ML engineer with a decade of experience spanning computer vision, deep learning, and large-scale real-time AI systems. Currently at the Centre for Vision, Speech and Signal Processing (University of Surrey), she focuses on monocular 3D reconstruction of humans and objects, building on prior work in multi-label classification, GNNs, and multimodal learning. Her industry experience includes production-facing systems from personalized music recommendation using graph neural networks to video-based theft and traffic anomaly detection, reflecting a strong track record of moving research into practical deployments. She blends rigorous academic contributions (ECCV and journal work on multi-label problems) with hands-on engineering across startups and enterprises, and has studied advanced NLP topics in Copenhagen—an indicator of cross-modal curiosity that informs her multimodal research.
11 years of coding experience
6 years of employment as a software developer
Bachelor of Technology (BTech), Computer Science, Bachelor of Technology (BTech), Computer Science at SRM University
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Centre for Vision, Speech and Signal Processing at University of Surrey
Single subject study - Advanced Topics in NLP, Single subject study - Advanced Topics in NLP at Københavns Universitet - University of Copenhagen
Master of Science by research (MS), Computer Science, Master of Science by research (MS), Computer Science at International Institute of Information Technology
English, Bengali, Hindi