Aditya Wagh

Focused robot learning, 3D computer-vision & SLAM researcher-engineer: many public repositories (SuperSLAM, pose-estimation-loftr, state-estimation, point-cloud tools) show hands-on work building learned localization, SLAM, and point-cloud processing software and experiments — a mix of research code, tutorials, and reproducible robotics pipelines. github+2

Robot learning & robotics practitioner: profile metadata and public presence identify current work in robot learning and 3D perception (Robot Learning Engineer @Neuracore), and prior NYU research training in machine learning + robotics — combining research and engineering to move robot-learning ideas into working code and prototypes. github+2

Open-source engineering and reproducible robot-learning research: active GitHub account with multiple project repos, tutorials, and course-related code (HPC tutorial, leetcode solutions, and robot-learning/SLAM project code), indicating a habit of publishing working code alongside research. github+2

Graduate-level training and teaching in EE/robotics with emphasis on robot learning and 3D perception: earned an MS from NYU (Class of 2023), served in research and teaching assistant roles — experience bridging coursework, robot-learning research, and mentorship at the graduate level. adityamwagh+2