Summary
Arnav Varma is a machine learning engineer specializing in deep learning and computer vision with about nine years of industry experience and a First Class MSc in Artificial Intelligence from the University of Edinburgh. He has built production-grade systems across 3D vision, HD map automation, ADAS, multimodal transformers, and continual learning, combining deep learning, classical vision, and geometric methods. His work at TomTom and NavInfo focused on end-to-end HD map generation, robust segmentation under domain shift, and self-supervised metric-scale depth and intrinsics estimation, contributing to nine peer-reviewed papers and three patents. Comfortable bridging research and engineering, he leads practical automation efforts—such as the first internal solution for junction maneuvers—while applying test-driven development and regression metrics to scale coverage. Based in Eindhoven, he brings a rare mix of robotics, mixed-reality, and applied research experience that targets reliability and efficiency in real-world, shifting-data environments.
9 years of coding experience
7 years of employment as a software developer
Master’s Degree, Artificial Intelligence, First Class, Master’s Degree, Artificial Intelligence, First Class at The University of Edinburgh
BITS Pilani, Birla Institute of Technology and Science