Mohamed Samir

Software Engineer with a strong Computer Science foundation and a data-driven mindset, experienced in building scalable full-stack applications using the MERN stack and modern front-end technologies. Actively developing expertise in Artificial Intelligence, Machine Learning, Data Analysis, and Data Science, with a focus on turning data into actionable insights that support informed decision-making.

Hands-on experience includes data analysis projects such as telecom customer churn analysis using SQL, Excel, Power BI, and Tableau, as well as AI and machine learning projects involving image classification with Python, TensorFlow, and Convolutional Neural Networks. Skilled in data preprocessing, model evaluation, and visualization.

Developed real-world applications including MERN stack platforms, location-based recommendation systems, and responsive front-end solutions. Holds a Bachelor’s degree in Computer Science from Suez Canal University and completed professional training and certifications in AI, machine learning, data analysis, and web development. Driven by a problem-first approach with a long-term goal of integrating software engineering with AI-driven analytics.

• Machine Learning Engineer Trainee (DEPI/Microsoft): Architecting end-to-end AI solutions and implementing MLOps workflows using MLflow and Hugging Face.
• Deep Learning for Computer Vision Trainee (NTI): Developing CNN architectures like ResNet and DenseNet for image classification and object detection.
• Data Analysis Trainee (NTI): Gained hands-on experience in data cleaning and visualization using SQL, Power BI, Tableau, and Python.
• AI & Machine Learning Trainee (Huawei Academy): Completed the HCIA-AI V4.0 program, focusing on TensorFlow and model evaluation.
• MERN Stack Developer Trainee (DEPI): Built full-stack web applications using MongoDB, Express, React, and Node.js with RESTful API integration

• Bachelor’s Degree in Computer Science from Suez Canal University.
• Graduated with a GPA of 3.0/4.0 (2020–2024).
• Developed a strong foundation in Computer Science with a focus on analytical problem-solving.
• Mastered programming fundamentals in C, C++, and Python to build efficient, data-driven solutions.
• Gained practical experience in technical communication through volunteering