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Achievement: Pull SharkAchievement: YOLO

Achievements

Achievement: Pull SharkAchievement: YOLO

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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: [email protected]
🔗 Linkedin: https://www.linkedin.com/in/daksh-maheshwari/

Pinned Loading

  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 2

  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. CARETS-APP CARETS-APP Public

    CARETS (CAncer RElated Terms Search) is a cancer research search engine integrating SEER, ClinicalTrials.gov, and GDC Atlas. Built with Next.js, Flask, and Docker, it features multi-threaded data e…

    Python

  5. VibeSync VibeSync Public

    Python 1 2

  6. Medical-Image-Reconstruction Medical-Image-Reconstruction Public

    Medical Imaging Systems (EECS 516)

    MATLAB