I am Youssef Amgad Elkhatib a Data Scientist and Web Developer.
Currently ranking 1st in my cohort & 1st in my Department(AI) at Cairo University’s Faculty of Computers & Artificial Intelligence, my focus extends far beyond standard machine learning algorithms.
I am driven by a singular, ambitious goal: to found a global robotics enterprise that develops machines capable of genuinely experiencing and responding to human emotions. By bridging the gap between artificial intelligence and true empathy, I aim to create revolutionary support systems for children, the elderly, and those in need of dedicated medical care.
I don't just want to write code—I am deeply immersed in pushing the absolute boundaries of what AI can achieve to leave a lasting, compassionate impact on the world.
Cognitive & Soft Skills
Core Programming
Web Technologies
AI & Frameworks
Tools & Version Control
Experience Timeline
Web Committee Member – SBS
Duration: Present
Active member of the Web Community at SBS (Step by Step). In this role, I collaborate with a team of driven developers to build, design, and maintain engaging web projects using modern web technologies.
Beyond technical coding, I actively engage with the broader tech community. I recently had the honor of proudly representing SBS at major tech gatherings, such as the Youth Scope event at The Greek Campus, continuously expanding my network and practical industry knowledge.
Soft Skills & Leadership: This experience has been instrumental in refining my professional skill set. Balancing rigorous project deadlines alongside my academic workload has significantly sharpened my time management, presentation skills and organizational abilities. Furthermore, working closely with peers and advocating for our society has greatly enhanced my teamwork, networking, and effective communication skills.
AI & Machine Learning Diploma – Route Academy
Duration: 5 Months
Ranked as the Best Member. Pursued an intensive AI & Machine Learning diploma at Route Academy, focusing on the full AI development lifecycle — from data preprocessing and feature engineering to building, training, and optimizing machine learning and deep learning models.
Through hands-on projects and real-world case studies, I enhanced my ability to design AI solutions that address practical business and societal challenges.
Huawei Certified ICT Associate – Artificial Intelligence (HCIA–AI V3.5)
Duration: 4 Weeks
Completed the Huawei HCIA–AI V3.5 certification program, gaining a comprehensive understanding of AI fundamentals, machine learning, deep learning, and industry applications.
The course covered Python programming for AI, data preprocessing, neural networks, and Huawei’s AI development tools, including MindSpore.
Through practical labs and projects, I developed the ability to design, train, and deploy AI models, as well as analyze real-world problems using AI-driven solutions.
ALX AI Career Essentials (AICE) Graduate
Duration: 6 Weeks
I successfully completed the ALX AI Career Essentials program, an intensive course focused on building practical skills in artificial intelligence, problem-solving, and professional growth.
The program covered AI fundamentals, prompt engineering, and real-world applications while emphasizing critical soft skills such as communication, teamwork, and adaptability.
Through hands-on projects and collaborative challenges, I gained a stronger foundation in AI concepts and the ability to approach complex problems with an innovative and business-oriented mindset.
Bachelor of Computer Science
Faculty of Computers and Artificial Intelligence, Cairo University
Expected Graduation: 2027 | Currently in 3rd Year - AI Department
GPA: 3.77 / 4.0 | Ranked 1st in Cohort
Projects Journey
Periodic Table of Expertise
The Community
Preprocessing Techniques
Cleaning, Scaling, Encoding & Engineering Data for Modeling and more!
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Supervised Machine Learning
Regression, Classification, Algorithms & predictive Intelligence
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Unsupervised Machine Learning
Clustering, Dimensionality Reduction, Anomaly Detection & Pattern Discovery
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Deep Learning Overview
Neural Networks, Forward & Backward propagation, Activation Functions, Optimizers and more!
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Image Processing & CNN
Processing Visual Data with Advanced Techniques and Building CNN Models
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Artificial Intelligence Foundations
Comprehensive Overview of AI, ML, & Deep Learning Concepts
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JavaScript Fundamentals, DOM, APIs and more!
Async Programming, DOM Manipulation, Closures & Event Execution
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