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dmdaksh/README.md

Hi there 👋

I'm Daksh, a Machine Learning Engineer with experience in optimizing deep learning models for real-world constraints. My work spans across model efficiency, deployment, and scalable software.

🔹 What I Do:

  • Develop and optimize ML models for constrained hardware.
  • Work with real-time ML systems.
  • Build scalable and efficient software.

📫 Reach Out:
I'm actively looking for MLE/SWE roles—let’s connect!
📩 Email: dmdaksh.97@gmail.com
🔗 Linkedin: https://www.linkedin.com/in/daksh-maheshwari/


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  1. multi-channel-eeg-deep-cnn-emotion-recognition multi-channel-eeg-deep-cnn-emotion-recognition Public

    Automated Accurate Emotion Recognition using Rhythm-Specific Deep Convolutional Neural Network Technique with Multi-Channel EEG Signals

    Jupyter Notebook 12 3

  2. docai docai Public

    Fine-tunes a pretrained LayoutLMv3 model on documents to extract key information with high accuracy. It integrates advanced OCR with a custom data ingestion pipeline. docai offers a modular trainin…

    Python 2

  3. glaucoma_classification glaucoma_classification Public

    This project focuses on detecting glaucoma using deep learning models trained on fundus images. It includes data preprocessing, supervised learning with ResNet50, self-supervised learning using Mas…

    Jupyter Notebook

  4. huggingface/transformers huggingface/transformers Public

    🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

    Python 151k 30.7k

  5. ml-explore/mlx-examples ml-explore/mlx-examples Public

    Examples in the MLX framework

    Python 7.9k 1.1k

  6. sudoku-tauri sudoku-tauri Public

    Sudoku Tauri is a cross-platform Sudoku game built using Tauri, TypeScript, and Rust. It provides a clean, modern interface for playing the classic number puzzle game on desktop platforms. The proj…

    TypeScript 4