RUA'A EID

I'm a passionate computer engineering student with a strong foundation in both hardware design and software development, aiming to become a well-rounded expert in the tech industry. Experienced as a Physical Design Intern with hands-on involvement in RTL-to-GDSII flow, including floorplanning, power optimization, and verification. Additionally, I have applied machine learning techniques to real-world datasets and integrated ML models into software systems, showcasing my ability to bridge data-driven intelligence with engineering solutions. Skilled in problem-solving, team collaboration, and proficient in industry tools such as Cadence, Synopsys, and Python-based ML libraries. Committed to continuous learning, innovation, and impactful contributions across both hardware and software domains.

Cars Company System from Data Base Course, Using Java and Scene Builder to build the code and UI, MySQL for database design. This system allows the company to reserve cars from the parent company and add them to a table which can be used as a view for the end users so that they can reserve cars from them to buy.

QuiqSip Store for Software Engineering Course, Developed a full-stack e-commerce system for ordering and delivering soft drinks. Covered the full software development lifecycle: requirements engineering, UML modelling (use case, class, sequence, activity, component, deployment), and architectural design. Contributed to system analysis, design, and documentation as part of a collaborative team project.

 Data Structure on C from Data Structure Course:

 1- Project based on linked lists insertion, deletion, update, search, sort.

 2- Project based on Stacks and Queues and their way of structing data.

 3- Project based on Binary Trees and Hashing. 

ML project :Developed and deployed a machine learning model to perform predictive analysis on structured data using Python, scikit-learn, and pandas. The project included data cleaning, feature engineering, model selection, and performance evaluation using techniques such as cross-validation and hyperparameter tuning. Achieved high accuracy and demonstrated strong generalization on test data, showcasing skills in both technical implementation and data-driven decision making.

INTELLIGENT SYSTEMS LAB:

1- Case Study based on Data Cleaning and Feature Engineering.

2- Case Study based on Comparative Analysis of Classification Techniques:
Random Forest (RF), Extreme Gradient Boosting (XGBoost), and
Multilayer Perceptron (MLP).

3- Case Study based on Comparing Two Network Architectures.

HARDWARE DESIGN LAB:

1- Project based on Physical Design ( offer practical experience in digital design and physical implementation by scaling an existing 8-bit processor design to a 32-bit processor. The project encompasses the complete physical design process, comprising synthesis, floorplanning, placement, routing, and clock tree synthesis, to ensure the final layout adheres to timing, power, and area constraints.).

2-  Project based on Design Verification (This project aimed to find a Test Plan through RTL and do debugging, verification and then testing.).

GaN-Based Bi-Directional Buck-Boost Converter for Electric Vehicles:

The graduation project represents a major advance in the field of electric cars by using a new type of switches that are integrated and programmed with Arduino, in addition to using the joystick and programming it with Arduino to facilitate the user’s movement, as this project serves people with special needs by developing a wheelchair that moves at different speeds that suit the user.

• C.
• Arduino C.
• JAVA.
• PYTHON.
• CSS/HTML.
• SQL, MySQL.
• API Testing Postman.
• Others: Assembly, Linux, and MATLAB.