Eyad Mohammed

Experience

• 

  Electro Pi

  Oct 2020 - Jan 2021

  Deep Learning intern

  • Implementing machine learning models: supervised and unsupervised.• implementing. Deep learning models: ANN, CNN, and RNN. • Tools and libraries: NumPy, Pandas, scikit-learn, OpenCV, TensorFlow, Keras, etc.• make data preprocessing• working with different data analysis types

• 

  Electro Pi

  Sept 2021 - Sept 2024

  Implementing computer vision projects by using the power of Deep Learning Technology with a deep level of details and working real-world apps.topics: image processing techniques, feature matching, Stereo Vision, camera calibration, Epi polarGeometry, Depth Measurement, segmentation, object detection, etc

  • Machine learning instractor

    Oct 2022 - Sept 2024

  • Machine Learning Engineer

    Mar 2022 - Sept 2024

  • Computer Vision intern

    Sept 2021 - Feb 2022
• 

  UNLOCK

  Sept 2024 - now

  Mid-Level Data Scientist