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DarvinX/README.md

Hi, I'm Tamal Hansda 👋

AI/ML Engineer — Computer Vision & Deep Learning | M.Tech, IIT Kharagpur

I build deep learning and computer vision systems — and I like understanding them from the ground up, not just calling library functions. My work spans classical and modern computer vision, deep learning, and audio/signal classification.

🔭 Currently: AI/ML Engineer at Benzy Infotech Pvt. Ltd. · M.Tech, IIT Kharagpur 🌱 Interested in: Deep learning, computer vision, ML systems, model optimization 💼 Open to: ML / Computer Vision / Deep Learning engineering and research roles 📫 Reach me: LinkedIn

🛠️ Tech Stack

Languages Python C++

ML / Computer Vision PyTorch OpenCV scikit-learn Hugging Face

Data & Tooling NumPy pandas Jupyter Docker Git

Focus areas: Computer Vision · Deep Learning · Audio/Signal Classification · Edge ML

🚀 Featured Projects

SimpleGrad — A from-scratch automatic differentiation engine with a PyTorch-like API. Implements layers, activations, optimizers (Adam, SGD), and loss functions, built for conceptual clarity. Trains an MLP on the digits dataset end to end.

CompVis — Clean implementations of the most common computer vision algorithms, written to be readable and educational.

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  1. SimpleGrad SimpleGrad Public

    Jupyter Notebook 6

  2. CompVis CompVis Public

    Implementation of most common computer vision algorithms.

    Python 1 1

  3. torry torry Public

    torrent search app

    Dart 3 1

  4. Arduino-onboard-learning Arduino-onboard-learning Public

    Implementation of SEFR algorithm on Arduino.

    C++ 1

  5. Audio-Classification Audio-Classification Public

    C++ 1

  6. captchaCracker captchaCracker Public

    keras model to read captchas.

    Python 1