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I am a motivated AI Engineer with hands-on experience in Python-driven projects and a solid foundation in machine learning principles. I have demonstrated expertise in developing AI solutions using libraries like TensorFlow and scikit-learn through academic and internship projects. I enjoy analyzing data and solving problems, and I am committed to learning and collaborating on innovative, remote projects. I have completed internships where I applied advanced neural network implementations and explored generative AI models. I am passionate about developing scalable AI platforms and systems, and I continuously seek to improve my skills in deep learning and related technologies.…I am a motivated AI Engineer with hands-on experience in Python-driven projects and a solid foundation in machine learning principles. I have demonstrated expertise in developing AI solutions using libraries like TensorFlow and scikit-learn through academic and internship projects. I enjoy analyzing data and solving problems, and I am committed to learning and collaborating on innovative, remote projects. I have completed internships where I applied advanced neural network implementations and explored generative AI models. I am passionate about developing scalable AI platforms and systems, and I continuously seek to improve my skills in deep learning and related technologies.

Mohamed K. Nafea

AI Engineer, Data Scientist, AI Developer, +1

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I am a motivated AI Engineer with hands-on experience in Python-driven projects and a solid foundation in machine learning principles. I have demonstrated expertise in developing AI solutions using libraries like TensorFlow and scikit-learn through academic and internship projects. I enjoy analyzing data and solving problems, and I am committed to learning and collaborating on innovative, remote projects. I have completed internships where I applied advanced neural network implementations and explored generative AI models. I am passionate about developing scalable AI platforms and systems, and I continuously seek to improve my skills in deep learning and related technologies.…I am a motivated AI Engineer with hands-on experience in Python-driven projects and a solid foundation in machine learning principles. I have demonstrated expertise in developing AI solutions using libraries like TensorFlow and scikit-learn through academic and internship projects. I enjoy analyzing data and solving problems, and I am committed to learning and collaborating on innovative, remote projects. I have completed internships where I applied advanced neural network implementations and explored generative AI models. I am passionate about developing scalable AI platforms and systems, and I continuously seek to improve my skills in deep learning and related technologies.

Available to hire

I am a motivated AI Engineer with hands-on experience in Python-driven projects and a solid foundation in machine learning principles. I have demonstrated expertise in developing AI solutions using libraries like TensorFlow and scikit-learn through academic and internship projects. I enjoy analyzing data and solving problems, and I am committed to learning and collaborating on innovative, remote projects.

I have completed internships where I applied advanced neural network implementations and explored generative AI models. I am passionate about developing scalable AI platforms and systems, and I continuously seek to improve my skills in deep learning and related technologies.

Skills

Experience Level

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

Arabic

Fluent

English

Advanced

Work Experience

Artificial Intelligence Engineer 1 at IBM, MBRF, UNDP

June 30, 2025 - July 23, 2025

Completed coursework in machine learning covering OLS Regression, Logistic Regression, Decision Trees, Random Forest, and clustering techniques using Python and AI libraries such as scikit-learn. Executed advanced neural network implementations with TensorFlow and Keras, developing proficiency in back propagation, DNN, RNN, transformers, and autoencoders. Applied functional and subclassing API in Keras to build custom layers and training loops, incorporating data augmentation, GANs, and reinforcement learning methodologies. Utilized PyTorch to construct custom models and optimize neural network performance with SGD, multiple linear regression, and logistic regression techniques, reinforcing core AI engineering skills.

Generative AI Specialist at DEPI Zagazig

October 31, 2024 - July 23, 2025

Analyzed classical machine learning techniques, neural networks, and convolutional neural networks to support AI-driven processes. Explored advanced generative models including GANs, VAEs, diffusion models, and transformers, while developing skills in fine-tuning large language models such as GPT, BERT, and T5.

Machine Learning for Data Analysis at NTI Mansoura

September 30, 2024 - July 23, 2025

Covered topics including EDA, Data Cleaning & Wrangling, Data Visualization, Image Preprocessing, Linear Regression, K-Nearest Neighbors, Logistic Regression, Naive Bayes, Decision Trees, Support Vector Machines, K-Means Clustering, Random Forests, Deep Neural Networks, Convolutional Neural Networks, hyperparameter tuning, Cross-Validation, Transfer Learning.