MOHAMED SAYED

Motivated Artificial Intelligence Student with foundational expertise in Python, C++, and Java. Developed a multimodal AI system for car diagnostics utilizing audio and image data through Late Fusion techniques. Focused on contributing to innovative, data-driven teams in Machine Learning and Data Science.

Developed an AI-based car diagnostic system that detects vehicle issues using audio and image data.

• Applied Late Fusion to combine predictions from multiple modalities.
• Processed engine sounds to identify mechanical faults.
• Used image analysis to detect visible car issues.
• Demonstrated real-world application of multimodal machine learning.

Conducted a data analysis project to explore relationships between key economic indicators and societal well-being.

• Collected and integrated datasets related to GDP growth, internet penetration, inflation, unemployment, and minimum wage.
• Performed data cleaning and preprocessing to ensure data quality.
• Applied Exploratory Data Analysis (EDA) and visualization techniques.
• Analyzed correlations between variables to identify meaningful patterns and trends.
• Provided insights into how economic factors impact development and quality of life.

Designed a database system to facilitate pet adoption.

• Built structured database tables and relationships.
• Enabled efficient querying and data retrieval.
• Improved accessibility for users looking to adopt pets.

Developed a web platform connecting users with maintenance and repair service providers.

• Improved communication between customers and companies.
• Focused on usability and solving real-world problems.

Developed a visual solver for the 8-puzzle problem.

• Implemented DFS, Greedy Search, and A* algorithms.
• Compared algorithm performance in real time.
• Used Pygame for visualization.

Built a GUI-based application using Java Swing.

• Managed student data and grades.
• Calculated averages automatically.
• Applied event-driven programming concepts.

Created a console-based system for managing library records.

• Implemented file handling and OOP principles.
• Supported book borrowing, returning, and searching.

Developed a modular system simulating university operations.

• Managed student data, courses, and grading.
• Applied data structures and abstraction concepts.

Built a terminal-based expense tracking application.

• Handled user input and data storage.
• Reinforced core programming concepts.

Recreated the classic Tetris game.

• Implemented collision detection and scoring system.
• Designed game loop and level progression.

Third-year AI student at Nile University and Junior Machine Learning Enthusiast, seeking a summer internship in Machine Learning or Data Science. Passionate about building intelligent systems and applying data-driven techniques to solve real-world problems. Interested in model development, multimodal AI, and data analysis, with hands-on experience in academic and practical projects.