Hi, I'm Aditya Wagh

I'm a Research Engineer on the Robot Learning team at Neuracore, founded by Stephen James, where I build physical-AI infrastructure for robot learning. I'm extremely grateful to be educated at two great institutions: NYU and BITS Pilani.

My interests sit at the intersection of computer vision, robot learning, and world models — building systems that perceive, model, and act in the dynamic, unstructured 3D environments that self-driving vehicles and mobile robots operate in.

Earlier, I researched 3D computer vision and deep learning at NYU's AI4CE lab under Professor Chen Feng, and I've built open-source systems across 3D perception — from visual SLAM and deep image matching to LiDAR 3D detection and state estimation — see my work.

I'm always open to research collaborations and roles at the frontier of world models, computer vision, and autonomy.

Beyond my core work, I'm drawn to coding agents and AR/XR — different takes on the same question of how intelligent systems can extend human creativity and reasoning rather than replace it. Outside work, I read about programming languages, systems and performance engineering, ML systems, and topics like public policy, city planning, history, and psychology.

If any of this resonates, let's connect — reach me on LinkedIn, by email, or on X/Twitter (open DMs).

Tech I've Used Before

Python C++ C Rust CUDA Bash MATLAB HTML CSS JavaScript PyTorch JAX OpenCV Open3D Keras TensorFlow Hugging Face Scikit-learn NumPy SciPy Pandas CMake ONNX TensorRT Docker Linux