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Ismail Sherif

GenAI Software Engineer Intern

Salam City, Cairo, Egypt

Work Experience

  • GenAI Software Engineer InternInternship

    Spiro Carbon

    Aug 2024 - Dec 2024 -4 months

    Egypt , Cairo

    • Job Details:• Integrated Large Language Models (LLMs) with external APIs and applied advanced prompt engineering, ensuring 95% accuracy in conversational responses, which boosted user trust and engagement in retail applications. • Architected intelligent retail chatbots that guided customers to tailored product recommendations and provided step-by-step household issue resolution, increasing self-service engagement and reducing support ticket volume. • Implemented an image recognition module enabling users to upload photos (e.g., damaged walls), with automated product suggestions and curated instructional YouTube videos, improving support accuracy and enhancing user satisfaction.
  • Machine Learning Engineer InternInternship

    Smsm AI

    Mar 2024 - May 2024 -2 months

    Egypt , Cairo

    • Job Details:• Collaborated with a 200+ member research and development team of ML engineers, contributing to large-scale AI initiatives that accelerated innovation and improved project outcomes for Smsm AI. • Carried out high-precision data annotation for the Eye of Horus computer vision project, improving object recognition and spatial analysis accuracy through precise dataset preparation. • Ensured consistent data labeling across diverse datasets, enhancing model training quality and reducing noise-related errors in preprocessing pipelines by 15%, resulting in more robust AI model performance.
  • Artificial Intelligence Engineer InternInternship

    ITIDA

    Jul 2023 - Aug 2023 -1 month

    Egypt , Cairo

    • Job Details:• Applied problem-solving solutions using Python and object-oriented programming, strengthening foundational software engineering practices and accelerating AI development efficiency. • Performed in-depth exploration of machine learning and deep learning principles, including cost functions, activation functions, and gradient descent, building a robust theoretical foundation that improved practical application in AI workflows. • Created a convolutional neural network (CNN) achieving 96% accuracy in classifying cats and dogs, demonstrating early mastery of deep learning techniques and enhancing model deployment readiness. • Enhanced critical soft skills, including communication and presentation, through collaborative team projects and planned peer feedback, improving team synergy and project delivery quality.
  • Education

    • Bachelor's Degree in Computer Science

      Hurghada University

      Jan 2021 - Jan 2025 - 4 yr

    Achievements

    Developer Student Clubs MENA '24 Lead (Google), 2023 McKinsey Forward Program (McKinsey), 2023 1st Place, Global Nominee in AI (Nasa Space Apps Challenge), 2022 AI Olympiad '22 Edition (Helwan University), 2022

    Skills

    • Python
    • NumPy
    • Pandas
    • Scikit-learn
    • TensorFlow

    Languages

    • English

      Advanced
    • German

      Beginner
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