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Hello everyone!

I am Javier Hernandez-Ortega, PhD in Computer Science and Electronic Engineering (Universidad Autonoma de Madrid). I am mainly focused on the research and development of state-of-the-art machine learning techniques (especially deep learning) and in applying them to tasks related to computer vision, biometrics (e.g., face recognition, face quality assessment, face antispoofing), and human computer interaction. Always looking for new challenges.

  • šŸ”­ Iā€™m proficient in:

    • Python data science stack: Numpy, Pandas, SciPy, Matplotlib.
    • Machine Learning frameworks: Pytorch, Tensorflow, Keras, Scikit-learn.
    • Cloud computing: mainly AWS.
    • Continuous Integration tools
    • Linux administration and scripting.
    • Others: Git, Latex, C, C++, Matlab.
  • šŸ‘Æ Iā€™m actively looking to collaborate on AI projects.

  • šŸ’¬ Author of FaceQnet, FaceQgen and DeepFakesON-Phys repositories.

  • šŸ“« How to reach me: [email protected]

  • LinkedIn.

  • Google Scholar.

Javier Hernandez-Ortega's Projects

faceqnet icon faceqnet

FaceQnet: Quality Assessment for Face Recognition based on Deep Learning

faceqvec icon faceqvec

Repository of the paper "FaceQvec: Vector Quality Assessment for Face Biometrics based on ISO Compliance" presented in the Video/Audio Quality in Computer Vision (VAQ) workshop of WACV 2022

h2ogpt icon h2ogpt

Private Q&A and summarization of documents+images or chat with local GPT, 100% private, Apache 2.0. Supports Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://codellama.h2o.ai/

privategpt icon privategpt

Interact with your documents using the power of GPT, 100% privately, no data leaks

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