Seif Eldin Mostafa Fayez

Seif Eldin Mostafa Fayez

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Software Engineer @ ILLA | Ruby on Rails
Egypt
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Résumé

Jobs verified_user 0% verified
  • ILLA
    Software Engineer
    ILLA
    Aug 2023 - Current (2 years 11 months)
    • Led the development and maintenance of product applications, resulting in a 15:40% boost in efficiency. • Spearheaded the integration of a leading MENA FMCG supplier with our warehouse management product. • Collaborated with cross-functional teams to ensure alignment between technical solutions and business objectives. • Mentored interns in back-end development, contributing to team growth and skill enhancement.
  • Rubikal
    Software Intern
    Rubikal
    May 2022 - Jul 2022 (3 months)
    • Delivered complete API implementations using ROR, contributing to real-world client projects within structured sprints. • Gained experience in agile workflows and successfully integrated business requirements into technical solutions.
  • h
    Software Engineer
    hdbc
    Mar 2022 - Jul 2023 (1 year 5 months)
    • Led the development of large-scale ROR projects, including a construction app for a Gulf-area client and solutions for government entities. • Provided 24/7 support and successfully translated client requirements into effective technical solutions for a diverse international client base.
  • I
    Software intern
    Inova LLC
    Sep 2020 - Jan 2021 (5 months)
    • Participated in ongoing company projects, refining skills in team-based software development.
Education verified_user 0% verified
  • F
    Bachelor of Computer Communication and Engineering
    Faculty of Engineering,Alexandria University
    Sep 2017 - Jul 2022 (4 years 11 months)
Projects (professional or personal) verified_user 0% verified
  • S
    Speech Emotion Recognition
    Jul 2022
    • Developed CNN models for extracting emotions from speech, achieving a 15% improvement in prediction accuracy.
  • A
    Arabic Sign Language Translator
    Jul 2022
    • Built a custom CNN model using Keras, improving classification accuracy by 10% through transfer learning techniques.
  • F
    Face Recognition
    Jul 2022
    • Implemented PCA and LDA classifiers, achieving a 90% accuracy rate in facial recognition.