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youssef = {
    "name": "Youssef Asaad Saad",
    "role": "Machine Learning Engineer",

    "focus": [
        "Machine Learning",
        "Data Science",
        "Computer Vision",
        "Data Engineering"
    ],

    "rank": "5th of 463 @ Minia University (CS-AI)",

    "currently": "Microsoft Data Engineering Trainee @ DEPI (Round 5, Azure track)",

    "recently_completed": "Computer Vision Intern @ NTI | 97.5% final score (120-hr CV & Deep Learning program)",

    "stack": [
    "Python", "SQL", "scikit-learn", "TensorFlow/Keras",
    "PyTorch", "PostgreSQL", "YOLO", "MediaPipe",
    "Azure", "AWS", "Streamlit"
   ]
}

Digital Egypt Pioneers Initiative (DEPI) · Internship Jul 2026 – Present · Egypt (Hybrid)

Selected for Round 5 of the Digital Egypt Pioneers Initiative (DEPI), a competitive government-sponsored six-month program by Egypt's Ministry of Communications and Information Technology (MCIT), delivered in partnership with Microsoft and CLS Learning Solutions.

• Building end-to-end data engineering solutions using Python, SQL, and Microsoft Azure.
• Designing and orchestrating scalable data pipelines for modern cloud-based data platforms.
• Developing expertise in big data processing, data architecture, and AI-assisted data workflows.
• Preparing for the Microsoft Certified: Azure Data Engineer Associate (DP-203) certification.
• Collaborating on hands-on projects, technical labs, and a capstone project under industry mentorship.

National Telecommunication Institute (NTI) · Internship Aug 2026 – Sep 2026 · Egypt (Hybrid)

Completed a competitive 120-hour Computer Vision & Deep Learning program (90 technical hours + 30 freelancing/professional-readiness hours) with a final score of 97.5%.

• Trained ANNs and CNNs from scratch and applied Transfer Learning with MobileNetV2, DenseNet, and other architectures.
• Built pipelines for Image Classification, Object Detection (YOLO11), Semantic & Instance Segmentation (U-Net, SAM 2), and real-time hand-landmark gesture recognition.
• Applied classical image processing (Sobel, thresholding, morphological operations) as a foundation before deep learning.
• Deployed interactive Streamlit applications, including third-party API integration (ElevenLabs TTS).
• Selected outcomes: 99.3% test accuracy (Cat vs Dog classifier), #1 Kaggle rank (Exoplanet Classification), 97.15% accuracy / 97.42% ROC-AUC (Diabetes Risk Prediction), 91.0% mAP@50 (fruit/vegetable detection), and co-developed Signify, a real-time ASL-to-speech system, as part of a 4-person team.

McKinsey & Company · Apprenticeship Mar 2026 – Jun 2026 · Remote

Completed a selective four-month professional development program designed for high-potential early-career professionals.

• Applied structured problem-solving frameworks to real-world business cases.
• Produced executive-style written and verbal recommendations under fixed deadlines.
• Strengthened strategic thinking, communication, and analytical decision-making skills.
• Collaborated within a global peer cohort while developing future-of-work competencies.

Fuzetek · Internship Feb 2026 – May 2026 · Remote

Completed an industry-oriented Software Engineering program covering the complete Software Development Life Cycle (SDLC), from requirements engineering to testing and deployment.

• Participated in full Agile/Scrum development cycles including sprint planning, stand-ups, reviews, and retrospectives.
• Designed normalized PostgreSQL databases and optimized complex SQL queries using JOINs, aggregations, and relational modeling.
• Applied Git and GitHub workflows for collaborative software development and version control.
• Built Python-based solutions for data transformation, automation, and business reporting.
• Strengthened software engineering fundamentals through algorithmic problem solving, data structures, recursion, and complexity analysis.

ITIDA Gigs · Internship Dec 2025 – Feb 2026 · Egypt (Hybrid)

Completed a structured freelancing program run by Egypt's Information Technology Industry Development Agency (ITIDA), focused on delivering real client projects.

• Reduced reporting turnaround time from approximately 2 days to under 4 hours by automating spreadsheet-based workflows with Python.
• Delivered end-to-end analytics solutions across 10+ client engagements, including requirement gathering, data preparation, analysis, and reporting.
• Built reusable preprocessing pipelines that significantly reduced manual effort and improved reporting consistency.
• Managed multiple concurrent projects while consistently meeting client deadlines.

Information Technology Institute (ITI) · Internship Jul 2025 – Sep 2025 · Egypt (Remote)

Completed a 90-hour summer training program focused on web development and database fundamentals.

• Covered HTML & CSS fundamentals, database design, and SQL.
• Learned PHP and MySQL for backend web development, with practical exposure to WordPress/CMS-based development.
• Completed the program with a 100% final evaluation, building the SQL and backend foundations that carried into later data engineering and analytics work.