Elia Condorelli

Senior Computer Vision Engineer at Develer
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Contact Information
us****@****om
(386) 825-5501
Location
Milan, Lombardy, Italy, IT
Languages
  • Italian Native or bilingual proficiency
  • English Professional working proficiency
  • Spagnolo Limited working proficiency
Skills

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Bio

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Lorenzo Belli

Elia has adaptable skills and worked on many different software components. Elia produced steadily reliable software and is capable to fix problems of different origins. Elia is also a likeable person who can adapt to every working environment.

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Credentials

  • Convolutional Neural Networks
    Coursera
    May, 2018
    - Nov, 2024
  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
    Coursera
    Sep, 2017
    - Nov, 2024
  • Neural Networks and Deep Learning
    Coursera
    Sep, 2017
    - Nov, 2024
  • Structuring Machine Learning Projects
    Coursera
    Sep, 2017
    - Nov, 2024

Experience

  • Develer
    • Italy
    • Software Development
    • 1 - 100 Employee
    • Senior Computer Vision Engineer
      • Nov 2022 - Present

  • Enel Group
    • Italy
    • Utilities
    • 700 & Above Employee
    • Senior Data Scientist | Computer Vision
      • Dec 2020 - Nov 2022

  • Imagination Technologies
    • United Kingdom
    • Semiconductor Manufacturing
    • 700 & Above Employee
    • Senior Research Engineer - Vision and AI
      • Aug 2020 - Dec 2020

    • Research Engineer - Vision and AI
      • May 2018 - Aug 2020

    • Research Engineer - PowerVR Graphics
      • Mar 2016 - May 2018

  • University of Naples Federico II
    • Higher Education
    • 700 & Above Employee
    • Research Engineer
      • Feb 2015 - Dec 2015

      Research activity in the fields of image processing and computer vision. The research was focused in particular towards the problem of no-reference image quality assessment, where the goal is to automatically predict the perceived quality of distorted digital images using machine learning techniques. Research activity in the fields of image processing and computer vision. The research was focused in particular towards the problem of no-reference image quality assessment, where the goal is to automatically predict the perceived quality of distorted digital images using machine learning techniques.

Education

  • University of Naples Federico II
    Master’s Degree, Telecommunications Engineering
    2010 - 2015
  • University of Naples Federico II
    Bachelor’s Degree, Telecommunications Engineering
    2006 - 2010

Community

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