Open to opportunities

Ahmed FARAG Mahmoud

@ahmedfaragmahmoud

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Experienced AI engineer specializing in computer vision and data science.

Egypt

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What I'm looking for

I seek a role that allows me to innovate in AI and computer vision, fostering growth and collaboration.

I am an AI Engineer currently studying at Nahda University in Bani Sweif, specializing in communication and computer science. My journey in artificial intelligence began with a strong foundation in Python, which I have applied to various projects, including mask detection and sentiment analysis using machine learning techniques. I am passionate about leveraging technology to solve real-world problems.

Throughout my education, I have participated in numerous projects and hackathons, such as the Instant Solution course where I honed my skills in data science and deep learning. My graduation project focuses on developing a medical diagnosis application that utilizes deep learning and computer vision techniques to detect diseases. This project not only showcases my technical abilities but also my commitment to improving healthcare through innovative solutions.

Experience

Work history, roles, and key accomplishments

Data Science Intern

Orange Digital Centre

Jun 2022 - Present (3 years 2 months)

Participated in a data science hackathon focused on Natural Language Processing. Developed a project to extract ideas from text and generate questions and answers based on the content.

Natural Language Processing Data Science Question Answering Systems

Data Science Course

Udemy

Jan 2022 - Present (3 years 7 months)

Completed an offline course on the basics of data science and its tools, focusing on data visualization techniques. Gained proficiency in preparing and visualizing data for analysis.

Data Science Data Visualization Data Analysis Python

Medical Image Processing Course

Coursera

Jan 2022 - Present (3 years 7 months)

Completed an offline course on medical image processing with Python. Focused on preparing medical images for model input and designing deep learning models for disease detection.

Image Processing Python Deep Learning Computer Vision Disease Detection

AI Trainer

Instant Solution Course

Jul 2021 - Present (4 years 1 month)

Completed a comprehensive training program covering Python fundamentals, data science, machine learning, and deep learning. Developed various projects including mask detection, car parking using YOLO, and sentiment analysis with NLP.

Python Data Science Machine Learning Deep Learning YOLO Natural Language Processing

Education

Degrees, certifications, and relevant coursework

Nahda University Bani Sweif

Bachelor of Communication and Computer Science Engineering, Communication and Computer Science Engineering

2019 -

Activities and societies: Graduation Project: Medical diagnose application to detect 8 diseases with deep learning and computer vision techniques, including a chatbot for health state detection and solution suggestions.

Currently pursuing a Bachelor's degree in Communication and Computer Science Engineering. Focused on developing a medical diagnosis application utilizing deep learning and computer vision techniques for the graduation project.