Summary
Vibashan VS is an applied scientist and PhD researcher specializing in the intersection of computer vision and natural language processing, focused on building open-world, multi-modal foundation models and vision-agents for reasoning and planning. With eight years of experience spanning industry research roles at Wayve, NVIDIA, Qualcomm, and Salesforce, he has driven state-of-the-art results in open-vocabulary segmentation, video grounding, and hallucination estimation for multi-modal LLMs—work that has led to publications and patents. At Wayve he is applying language-aligned world models to enable vision–language–action policies for autonomous driving, translating academic advances into real-world control. His background includes top-ranked biomedical imaging results and robotics experiments from NUS and IIT Madras, reflecting a rare blend of medical, robotic, and autonomous vehicle vision expertise. Practical, publication-driven, and product-minded, he combines deep theoretical knowledge with hands-on system building across research and edge deployment.
8 years of coding experience
3 years of employment as a software developer
Indian Institute of Technology Madras
Johns Hopkins University
Bachelor of Technology - BTech Instrumentation and Control Engineering, Bachelor of Technology - BTech Instrumentation and Control Engineering at National Institute of Technology, Tiruchirappalli
Research Assistant Intern Deep Learning | Medical AI | Computer Vision |, Research Assistant Intern Deep Learning | Medical AI | Computer Vision | at National University of Singapore