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Helping robots perceive and understand the world.
🤖
Helping robots perceive and understand the world.

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adityamwagh/README.md

👋 Hi, I'm Aditya

I'm a NYC-based Roboticist passionate about leveraging machine learning to tackle challenges in Computer Vision and Robotics.

I hold a Master's in Electrical Engineering from New York University (NYU) and a Bachelor's in Electrical Engineering from BITS Pilani, with a strong focus on Robotics, Machine Learning, and Computer Vision.


New York University (NYU)
MS in Electrical Engineering '23

BITS Pilani
BE in Electronics Engineering'19

🌟 Interests

Domain Subarea
3D Computer Vision and Perception Classical and Machine Learning-based Approaches
Localization and Mapping Visual Localization, State Estimation and Sensor Fusion, High-Definition and Semantic Mapping
Robot Learning Language Grounding in Robotics, Vision-Language-Action Models, Behaviour Cloning and Imitation Learning for Robot Manipulation
ML Systems Distributed ML, ML Inference, ML Compilers

🤝 Let's Connect

I'm always open to intriguing discussions and collaboration opportunities. Whether you're working on cutting-edge robotics, AI, or exciting projects, feel free to reach out—I'd love to connect!

🛠️ Tech Stack

This is a non-exhaustive list of the technologies I have used in the past and I am profesionally competent in.

Languages Frameworks & Libraries Currently Learning
Python C++ C MATLAB Bash CUDA HTML CSS JavsScript PyTorch OpenCV Open3D Keras TensorFlow Hugging Face Scikit-learn NumPy SciPy Pandas CMake ONNX TensorRT Docker Linux Rust JAX

📊 GitHub Stats

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  1. SuperSLAM SuperSLAM Public

    SuperSLAM: Open Source Framework for Deep Learning based Visual SLAM (Work in Progress)

    C++ 102 13

  2. f-person/auto-dark-mode.nvim f-person/auto-dark-mode.nvim Public

    A Neovim plugin for macOS, Linux & Windows that automatically changes the editor appearance based on system settings.

    Lua 345 27

  3. pose-estimation-loftr pose-estimation-loftr Public

    Pose estimation pipeline for 3D Reconstruction using LoFTR (Local Feature Transformer) detector free feature matcher.

    Jupyter Notebook 19 2

  4. power-cable-instance-segmentation power-cable-instance-segmentation Public

    Mask RCNN model for instance segmentation of power cables for infrastructure inspection purposes.

    Jupyter Notebook 3 2

  5. cnn-damage-assessment cnn-damage-assessment Public

    Multi-Head Convolutional Networks for Post Earthquake Damage Assessment of Damaged Buildings

    Jupyter Notebook 1

  6. kuka-manipulator-control kuka-manipulator-control Public

    Implementation of KUKA manipulator kinematics and control in plain NumPy and SciPy.

    Jupyter Notebook