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AI Engineer with 1+ years in RAG-based systems & NLP
AI Engineer with strong experience in building intelligent systems, including RAG-based chatbots, automation tools, and machine learning models. Skilled in transforming data into actionable insights using NLP, computer vision, and predictive analytics. Experienced in delivering AI-driven solutions across diverse domains while supporting academia as a Teaching Assistant. Passionate about designing scalable, high-impact systems and solving complex real-world problems.
Faculty of Engineering at Shoubra Benha University
Computer Engineering
August 1, 2018 – June 30, 2023
Benha National University (BNU)
Part-Time Teaching Assistant
January 1, 2025 – Present
Cairo, Cairo Governorate, Egypt
Nesma Airlines
AI Engineer & System Administrator
January 1, 2025 – Present
Cairo, Cairo Governorate, Egypt
Graduation Project – Multimodal Personality Prediction System
July 1, 2022 – July 1, 2023
Developed a multimodal ML/DL system achieving ~85% accuracy in predicting Big Five personality traits from video interviews. Engineered behavioral feature extraction techniques, improving candidate evaluation consistency by ~30%.
AI For Data Science
Udemy
January 1, 2025 – Present
Introduction To Data Science
Udemy
January 1, 2025 – Present
AI Speech Concepts
Microsoft Learn
January 1, 2025 – Present
Introduction to AI Concepts
Microsoft Learn
January 1, 2025 – Present
NLP Concepts
Microsoft Learn
January 1, 2025 – Present
Generative AI and Agents
Microsoft Learn
January 1, 2025 – Present
Azure AI Solution Planning
Microsoft Learn
January 1, 2025 – Present
Computer Vision Concepts
Microsoft Learn
January 1, 2025 – Present
AI for Everyone
Coursera
January 1, 2023 – Present
Problem Solving (Basic & Intermediate)
HackerRank
January 1, 2023 – Present
Kaggle Courses
Kaggle
January 1, 2023 – Present
Python Programming Basics
HackerRank
January 1, 2023 – Present
Python Basics
HackerRank
January 1, 2023 – Present
Python for Data Science and Machine Learning
Coursera
January 1, 2023 – Present
Advanced Learning Algorithms
Udemy
January 1, 2023 – Present
Machine Learning Diploma
Udemy
January 1, 2023 – Present
Supervised Machine Learning
Coursera
January 1, 2022 – Present
Frontend Development
ITI
January 1, 2022 – Present
Fundamentals of Database
Coursera
January 1, 2022 – Present
Robotics Workshop V
IEEE
June 1, 2019 – Present
CCNA V7
NTI
June 1, 2019 – Present
C++ (Essential, Professional Level)
ISI
June 1, 2019 – Present
Edraak Certificates
Edraak
June 1, 2019 – Present
Java (Essential, Professional Level)
ISI
June 1, 2019 – Present
HSBC certificate
HSBC
June 1, 2019 – Present
Cultural Fit Analysis
The candidate's diverse project experience, from academic research in multimodal personality prediction to industry application in aviation data infrastructure and RAG systems, indicates adaptability and a broad interest in AI applications. The role as a part-time teaching assistant also shows a willingness to contribute to the community and mentor others. The extensive list of certifications from various platforms (Microsoft Learn, Udemy, Coursera, Kaggle, HackerRank) demonstrates a strong commitment to continuous learning and self-improvement, which aligns well with a dynamic, innovation-driven culture. The blend of academic and practical experience, coupled with a wide array of technical skills, suggests a candidate who can integrate well into a team focused on cutting-edge AI solutions.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical, research, and communication skills, along with critical thinking and a collaborative team player attitude. These soft skills are crucial for an AI Engineer who needs to understand complex problems, communicate solutions, and work effectively within cross-functional teams. The teaching assistant role further highlights communication and mentoring abilities. The experience in automating operational workflows and collaborating with teams at Nesma Airlines indicates a good operational fit.