Summary
Prashant Ghimire is an AI-driven computer vision researcher and PhD candidate based in France with nine years of hands-on experience building and deploying vision systems from edge devices to cloud. He has led end-to-end projects in 3D reconstruction of archival dance videos for cultural heritage, automated monocular pipelines, and practical deployments including people detection, pose estimation, and embedded inference on Raspberry Pi. His background spans agricultural and industrial vision—depth prediction, segmentation, and fruit sizing from stereo rigs—and interdisciplinary collaboration with artists and researchers. Comfortable bridging research and production, he has published project findings while contributing code and APIs for real-time video and streaming applications. Fluent in Python and imaging-focused computational color science through Erasmus studies across top European programs, he combines rigorous academic training with product-oriented engineering. Outside typical research roles, he brings a creative maker mindset—"Imagine > code > create"—that drives pragmatic solutions for complex visual sensing problems.
9 years of coding experience
3 years of employment as a software developer
undergraduate, Electrical, Electronics and Communications Engineering, undergraduate, Electrical, Electronics and Communications Engineering at Kathmandu University (KU)
Bachelor's degree (Erasmus exchange Program), Electrical and Electronics Engineering, Bachelor's degree (Erasmus exchange Program), Electrical and Electronics Engineering at Bialystok University of Technology
Erasmus Masters in Compuatational Color and Spectral Imaging, Erasmus Masters in Compuatational Color and Spectral Imaging at University of Eastern Finland
Erasmus Masters in Computational Color and Spectral Imaging, Erasmus Masters in Computational Color and Spectral Imaging at Faculté des Sciences et Techniques - Université Jean Monnet Saint-Etienne
Norwegian University of Science and Technology