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Helping computers perceive the world!
🤖
Helping computers perceive the world!
33 followers · 86 following

Achievements

Achievement: StarstruckAchievement: Pair ExtraordinaireAchievement: Pull Shark

Achievements

Achievement: StarstruckAchievement: Pair ExtraordinaireAchievement: Pull Shark

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adityamwagh/README.md

👋 Hello, I'm Aditya

I'm a Computer Vision and Machine Learning Engineer working on applying ML to problems in Computer Vision & Robotics.

I hold MS and BE degrees in Electrical Engineering from New York University and BITS Pilani, with a specialization in Robotics, Machine Learning and Computer Vision.

  • I'm passionate about solving complex problems in:

    • 🤖 Robotics. Machine Learning based Perception, Localization and Mapping
    • 👁️ Computer Vision. Object Detection, Semantic Segmentation, 3D Reconstruction & Neural Rendering, Optical Flow, Tracking
    • 🧠 Machine Learning. CNNs, Transformers, Diffusion Models, AutoEncoders

  • Actively looking for opportunities in the large multimodal models + robotics space!

  • Competent Python and C++ programmer with an in-depth understanding of concepts machine learning, 2d & 3d computer vision, perception, localization and mapping (SLAM).

  • Always open to interesting conversations and collaboration opportunities. Feel free to reach out if you'd like to chat about robotics, AI, or any exciting projects!

  • Currently interested is in using LLMs & VLMs for perception, localization, mapping, and control for robotics & autonomous systems.

🛠️ 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++ 82 11

  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 313 25

  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 16 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

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

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

    Jupyter Notebook