I am a highly motivated individual with a passion for computer science and artificial intelligence. My academic background is in the field of computer science and artificial intelligence. My skillset includes expertise in programming languages such as C++, Python, Java, and machine learning techniques such as supervised learning, SVM, and neural networks. Additionally, I have a solid understanding of data structures, algorithms, and databases. My main interests are in neural networks and machine learning. I believe that math is the foundation of all sciences, and that this knowledge is essential in the field of artificial intelligence. I am excited to continue learning and growing in this field, and I believe that my skills and passion make me a valuable asset to any team.
Faculty of computers and artificial intelligence, Cairo | 2020 - 2024
Specialized at Ai
SBS-Protech |
Jan 2025 - Present
As an ML Engineer in the oil and gas safety industry, I develop AI-driven solutions to enhance safety, automate processes, and improve decision-making through data analysis and machine learning.
Turing |
October 2024 - March 2025
Collaborate on advanced AI and AGI projects, focusing on the training and optimization of large language models (LLMs).
Real-Fiction |
August 2024 - Present
As an ML Engineer in the architectural industry, I develop AI-driven solutions to optimize design processes, automate tasks, and enhance decision-making through data analysis and machine learning.
National Authority for Remote Sensing & Space Sciences (NARSS) |
Data Reception, Analysis and Receiving Stations Affairs Division (DRARSAD) |
August 2023 - September 2023
Gained professional experience in Deep Learning in Remote Sensing
(Air Quality Prediction)
E-solutions | July 2023 - August 2023
Gained professional experience as a Software Engineer, worked on various projects
Remotasks | June 2023 - September 2023
Training Ai models and improve responses
Coursera | Sep 2022
Skills : Neural Networks · Logistic Regression · TensorFlow · Computer Science · Linear Regression · Scikit-Learn · Convolutional Neural Networks (CNN) · Python (Programming Language) · Machine Learning · Keras · Artificial Intelligence (AI) · Supervised Learning · Deep Learning · Support Vector Machine (SVM)
CertificateCoursera | July 2023
Skills : Advice for Model Development · TensorFlow · Artificial Neural Network · Tree Ensembles · XGBoost
CertificateCoursera | July 2023
Skills : Reinforcement Learning · Recommender Systems · Collaborative Filtering · Anomaly Detection · Unsupervised Learning
CertificateCoursera | July 2023
Skills : Neural Networks · Logistic Regression · TensorFlow · Computer Science · Linear Regression · Scikit-Learn · Convolutional Neural Networks (CNN) · Python (Programming Language) · Machine Learning · Keras · Artificial Intelligence (AI) · Supervised Learning · Deep Learning · Support Vector Machine (SVM) . Reinforcement Learning · Recommender Systems · Collaborative Filtering · Anomaly Detection · Unsupervised Learning . Advice for Model Development · TensorFlow · Artificial Neural Network · Tree Ensembles · XGBoost
CertificateCoursera | Aug 2023
Skills : Deep Learning . Artificial Neural Network . Backpropagation . Python Programming . Neural Network Architecture
CertificateBritish Council | 2017 - 2018
Skills : Speaking . Writing . Reading . Listening
CertificateICPC - International Collegiate Programming Contest | Aug 2021
Skills : Computer Science · Problem Solving · Algorithms · Data Structures
CertificatePluralsight | Dec 2021
Skills : Computer Science · Python (Programming Language) · Programming Languages
CertificatePluralsight | Dec 2021
Skills : Computer Science · Programming Languages · C (Programming Language)
CertificateGoogle | Mar 2022
Skills : Computer Science · Problem Solving · Algorithms · Data Structures
CertificateHackerRank | Apr 2022
Skills : Skills: Computer Science · SQL · Programming Languages
CertificateBuilding intelligent systems with ML and DL to automate tasks, analyze data, and drive innovation.
Innovating AI solutions through cutting-edge research in machine learning and deep learning.
Developing AI models that generate creative and intelligent content, from text to images and beyond.
Developing AI agents that learn through rewards and decision-making to optimize complex tasks.
Enhancing conversational AI with fine-tuning and retrieval-augmented generation for accurate and context-aware responses.
Improving AI efficiency with model compression, pruning, and quantization for faster and scalable deployment.
