Recommended expert

Marwa Hamrouni

Computer Vision Project

Marwa Hamrouni
Munich, Germany

Experience

Computer Vision Project

  • Developed a convolutional neural network (ConvNet)-based model that achieved 95% accuracy in traffic sign recognition and classification.
  • Programming language: Python 3.7.
  • Libraries: Numpy, matplotlib, scikit-learn, scikit-image.
  • Deep learning framework: Tensorflow.

NLP Project

  • Created and compared the performance of three different models for patent application classification.
  • The first two models use different word representations, while the third is based on a pre-trained language model.
  • Accuracy improved significantly—from 60% with the baseline model (using GloVe embeddings) to 88% with the pre-trained model.
  • Programming language: Python 3.7.
  • Word representation: GloVe word embeddings, pre-trained domain-specific embeddings.
  • Pre-trained language model: Google AI's BERT.
  • Python’s libraries: Pandas, Numpy.
  • Deep learning framework: Tensorflow.
Passau, Germany

Master’s thesis at the University of Passau

University of Passau

  • Depth information is extracted from RGB images using Generative Adversarial Networks (GANs).
  • The generator follows an encoder-decoder architecture.
  • A pre-trained EfficientNet model is used as the encoder backbone for feature extraction, while the decoder is implemented as a fully convolutional neural network.
  • In the first approach, Conditional GANs (CGANs) are trained in a supervised manner using single RGB images paired with corresponding ground truth depth maps for both training and testing.
  • The second approach employs a GAN-based architecture trained in an unsupervised fashion using stereo image pairs without ground truth depth maps, but at test time, only single RGB images with depth maps are used.

Skills

  • Programming Languages: Python, C, C++, Matlab, Sql (Postgresql)
  • Tools: Jupyter Notebook, Visual Studio Code
  • Os: Linux, Windows 7/10
  • Vcs: Git

Languages

Arabic
Advanced
English
Advanced
French
Advanced
German
Intermediate

Education

Oct 2018 - Feb 2022

University of Passau

Master's degree · Computer Science · Passau, Germany

Oct 2014 - Aug 2017

International Multidisciplinary School of Sousse

Electrical Engineering · Sousse, Tunisia

Sep 2011 - Jun 2014

Higher Institute of Computer Science and Mathematics

Bachelor's degree · Electronics and Communication; Technology · Monastir, Tunisia

Profile

Created
Need a freelancer? Find your match in seconds.
Try FRATCH GPT
More actions

Frequently asked questions

Do you have questions? Here you can find further information.

Where is Marwa based?

Marwa is based in Munich, Germany.

What languages does Marwa speak?

Marwa speaks the following languages: Arabic (Advanced), English (Advanced), French (Advanced), German (Intermediate).

What roles would Marwa be best suited for?

Based on recent experience, Marwa would be well-suited for roles such as: Computer Vision Project, NLP Project, Master’s thesis at the University of Passau.

What is Marwa's latest experience?

Marwa's most recent position is Computer Vision Project.

What is Marwa's education?

Marwa holds a Master in Computer Science from University of Passau, a Bachelor in Electrical Engineering from International Multidisciplinary School of Sousse and a Bachelor in Electronics and Communication; Technology from Higher Institute of Computer Science and Mathematics.

What is the availability of Marwa?

Marwa is immediately available for suitable projects.

What is the rate of Marwa?

Marwa's rate depends on the specific project requirements. Please use the Meet button on the profile to schedule a meeting and discuss the details.

How to hire Marwa?

To hire Marwa, click the Meet button on the profile to request a meeting and discuss your project needs.

Average rates for similar positions

Rates are based on recent contracts and do not include FRATCH margin.

1200
900
600
300
Market avg: 880-1040 €
The rates shown represent the typical market range for freelancers in this position based on recent contracts on our platform.
Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.