Summary
Prashant Domadiya is an AI researcher with a PhD in Geometry Processing, Computer Graphics, and Computer Vision and over a decade of experience building production-ready computer vision systems. He led the “3D Digital Human Twin” initiative at ApparelGenius, delivering end-to-end solutions from camera calibration and multi-view 3D reconstruction to AWS deployment readiness. Currently at Accio Research, he focuses on real-time camera pose estimation for sports video, blending classical geometry with modern ML for low-latency inference. Known for translating research prototypes into robust product features, he optimizes algorithms for real-world constraints and cross-functional integration. His background in electronics and communications engineering, plus an MTech in ML and CV, gives him a rare mix of hardware-aware vision expertise and cloud deployment experience. Colleagues describe him as a practical innovator who closes the gap between academic rigor and production impact.
10 years of coding experience
4 years of employment as a software developer
M-tech (ICT) Machine learning Comuter Vision, M-tech (ICT) Machine learning Comuter Vision at Dhirubhai Ambani institute of information and communication technology
Bachelor's of Engineering Electronics and Communications Engineering, Bachelor's of Engineering Electronics and Communications Engineering at Gujarat Technological University
Doctor of Philosophy (PhD) Geometry Processing Computer Graphics and Computer Vision, Doctor of Philosophy (PhD) Geometry Processing Computer Graphics and Computer Vision at Dhirubhai Ambani Institute of Information and Communication Technology
English, Hindi, Gujarati