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@ziadwaleed
Machine Learning Engineer passionate about innovative AI solutions.
I am a Machine Learning Engineer with a strong foundation in computer science, currently pursuing my Bachelor's degree at Helwan University. My passion for artificial intelligence drives me to develop innovative solutions that leverage machine learning and deep learning techniques. I have successfully completed various projects, including a Retrieval-Augmented Generation system for stock market analysis and an Arabic-to-English machine translation model, showcasing my ability to apply advanced algorithms to real-world problems.
In my recent internship at IEEE-FCAI, I gained hands-on experience working with diverse machine learning and deep learning models, enhancing my skills in data analysis and problem-solving. As the Vice-Director of the Machine Learning Committee at IEEE-FCAI, I lead initiatives that promote collaboration and innovation within the community. My dedication to continuous learning and improvement is evident in my achievements, including winning 1st place in a Computer Vision Hackathon, where I developed a CNN model that achieved a remarkable accuracy score.
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Work history, roles, and key accomplishments
IEEE-FCAI
Dec 2024 - Present (11 months)
Currently serving as Vice-Director of the Machine Learning Committee. Responsible for guiding and overseeing machine learning initiatives and projects within the committee.
IEEE-FCAI
Mar 2023 - Present (2 years 8 months)
Worked with a number of different ML and DL models to create solutions. Gained practical experience in applying machine learning and deep learning techniques to solve real-world problems.
Degrees, certifications, and relevant coursework
Bachelor's degree, Computer Science
Pursued a Bachelor's degree in Computer Science. The curriculum covered various aspects of computer science, preparing for a career in technology.
Software and tools used professionally
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