Summary
Rajesh Gangireddy is a computer vision and deep learning researcher with nine years of engineering experience, currently focused on open-world recognition and incremental learning from his MSc work at the University of Twente and a graduation internship at Intel. He has practical industry experience building vision systems at BASF and three years as a software engineer at Bosch, combining embedded-systems rigor with state-of-the-art machine learning. His thesis and Intel project tackled out-of-distribution detection on biodiversity datasets—applying novel algorithms to make wildlife image recognition more robust to unknown classes. Rajesh brings hands-on teaching and committee experience from the University of Twente and a track record of leading student and volunteer organizations, signaling strong collaboration and mentorship skills. He seeks full-time roles where his blend of embedded systems, applied deep learning, and real-world deployment experience can advance technology that benefits humanity.
9 years of coding experience
4 years of employment as a software developer
MSc Embedded Systems, MSc Embedded Systems at University of Twente
Bachelor's Degree, Electronics and Communications Engineering, Bachelor's Degree, Electronics and Communications Engineering at Amrita Vishwa Vidyapeetham, Amritapuri
High School, High School at Kasturba English Medium School, Cochin
High School, High School at Space Central School, Sriharikota