Summary
Aditya Wagh is a Robot Learning Engineer with eight years of experience at the intersection of machine learning, 3D computer vision, and robotics, currently building Vision-Language-Action models and visuo-motor policies at Neuracore. He has a strong research background from NYU, where he worked on Visual SLAM, NeRF-based 3D reconstruction, LiDAR mapping and ML inference optimization, and taught graduate courses on 3D vision and SLAM. His career spans applied research projects from post-earthquake infrastructure assessment to automated power system inspection, demonstrating an ability to move models from prototype to real-world sensing systems. Comfortable across Python, TensorFlow/Keras and point-cloud pipelines, he blends academic rigor with hands-on engineering for robot manipulation and perception. Based in London, he brings a practical focus on making robot learning accessible while retaining depth in both theory and systems-level implementation.
8 years of coding experience
3 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Master of Science, Electrical Engineering (Machine Learning and Robotics), Master of Science, Electrical Engineering (Machine Learning and Robotics) at New York University
Elementary School, Elementary School at Kilbil St Joseph's High School
AISSE Secondary School Certificate, Secondary School, 10/10, AISSE Secondary School Certificate, Secondary School, 10/10 at Symbiosis School
English, Hindi, Marathi