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Ammar Mahmoud

@ammarmahmoud1

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Passionate Machine Learning Engineer with expertise in AI solutions.

Egypt

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What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can apply my machine learning expertise to impactful projects in healthcare and technology.

I am a passionate and results-oriented Machine Learning Engineer with over a year of hands-on experience in developing and deploying cutting-edge AI solutions across medical imaging, natural language processing, and computer vision. I excel at designing end-to-end machine learning systems, from data preprocessing and model development to deployment. My goal is to contribute to the advancement of healthcare and technology by utilizing my expertise in AI and large language models to solve complex real-world problems.

Throughout my career, I have successfully designed and deployed machine learning models that improved diagnostic accuracy in medical imaging projects by up to 25%, leading to faster and more reliable patient outcomes. I have automated end-to-end ML pipelines using advanced tools like Python, TensorFlow, and PyTorch, significantly reducing development time. My collaborative spirit shines through as I have trained and mentored junior collaborators on best practices for ML deployment and data preprocessing.

My academic background in Medical Informatics, coupled with my practical experience, has equipped me with a solid foundation in machine learning concepts and tools. I am eager to continue my journey in this field, contributing innovative solutions that enhance healthcare delivery and improve patient outcomes.

Experience

Work history, roles, and key accomplishments

Machine Learning Engineer

Freelance

Designed and deployed machine learning models that improved diagnostic accuracy in medical imaging projects by up to 25%. Enhanced model robustness by applying CNNs, facial keypoint detection, and transfer learning, reducing prediction errors by 18%. Automated end-to-end ML pipelines using Python, TensorFlow, PyTorch, and OpenCV, cutting development time by 30%.

Machine Learning Deep Learning CNN Learning Transfer Python TensorFlow PyTorch OpenCV Machine Learning Pipelines

Machine Learning Intern

Information Technology Institute (ITI)

Jun 2023 - Present (1 year 11 months)

Built and tested predictive models using Scikit-learn and TensorFlow, increasing forecast accuracy by 15% across multiple datasets. Streamlined data pipelines through feature engineering and hyperparameter tuning, reducing model training times by 20%. Collaborated with cross-functional teams and presented findings to senior mentors, leading to adoption of improved ML techniques.

scikit learn TensorFlow Data Pipelines Hyperparameter Tuning

Education

Degrees, certifications, and relevant coursework

Faculty of Computers and Artificial Intelligence, Beni-Suef University

Bachelor of Science, Medical Informatics

Grade: 3.15/4

Studied Medical Informatics with a GPA of 3.15/4. The curriculum focused on the intersection of computer science and healthcare, preparing for roles in medical data analysis and AI applications.