Mechatronics Engineer Bachelor's Degree

Nada Zeineddin

MECHATRONICS ENGINEER

Amman, Jordan +962********* ***************@*****.*** www.linkedin.com/in/nada- zeineddin github.com/Nadazeineedin

Summary

Mechatronics Engineer skilled in AI, MATLAB, Python, and Arduino. Strong in teamwork, leadership, and problem-solving. Passionate about robotics, medical imaging, and education. Professional Experiences

Saudi Hospital Biomedical Engineering Trainee 2025-Present Jordan University Hospital AI Researcher 2023–Present

• Conducted applied research in medical AI focused on diagnosing retinal diseases using OCT imaging.

• Collected and managed clinical datasets, collaborated with ophthalmologists for expert annotations.

• Built deep learning models (CNNs) for multiclass classification and integrated clinical variables.

• Supported real-world clinical decision-making by bridging engineering and medical research. Mind Vision Company Robotics Technician & Trainer 2021-2022

• Delivered online Arduino programming training to children aged 6–17.

• Designed hands-on robotics activities and simplified mechatronics concepts for young learners.

• Promote early STEM education through project-based learning in a virtual environment. Education

University of Jordan - Bachelor's Degree in Mechatronics Engineering Very Good 2025 Government High School- Scientific Field GPA: 97.1 2019 Skills

Technical Skills:

• Strong: MATLAB, Arduino C, LogixPro, Visual Studio, Multisim, Fluid Sim, Microsoft Office.

• Proficient: Python, Visual Studio, Basic SolidWorks, Video Editing (Adobe Premiere, Filmora).

• Familiar: Assembly Language, PIC16F84A, Data Annotation Tools. Soft Skills: Problem-solving, Creativity, Project Planning, Team Leadership, Communication, Content Creation, Time Management.

Languages: Arabic (Native), English (Advanced writing, Intermediate speaking), Bosnian. Research & Publications

• Novel AI Model for Retinal Disease Detection Using OCT Imaging (Graduation Research, 2022–2025, Manuscript in preparation)

• OCT-Based Retinal Biomarkers for Biological Age Estimation (Ongoing Research, 2024–2025, in collaboration with JUH)

• Patients’ Perceptions of AI in Ophthalmology (Submitted, 2025)

• CNN-Based Prediction of Breast Cancer Using Dual-Energy Imaging (Ongoing Research, 2025 — in collaboration with JUH)

Technical Projects

GlycoVision – Multi-Class Retinal Disease Classifier (Graduation Project, 2025): Developed and deployed an OCT-based diagnostic system using 11 CNN models with stacked ensemble learning. Achieved 96% accuracy and integrated the solution into a web app using FastAPI and TensorFlow. MedA – AI-Powered Medical Platform: Led the launch of an AI platform for medical case analysis. Defined user needs, gathered expert insights, analyzed competitors, and developed marketing and financial plans. Designed the landing page using MailerLite and presented the project at one of the top entrepreneurship conferences in Jordan. SCARA Robot with AI-Driven G-code Generator: Designed and programmed a SCARA robot for pick-and-place and laser marking tasks. Integrated inverse kinematics, motion planning, and an AI model trained to generate G-code paths for custom drawings.

Advanced Control Systems for SUMO Robot: Developed and simulated MPC, PID, ANN, and Fuzzy Logic controllers for a SUMO robot using MATLAB/Simulink and C++. Defined system models and control parameters, collected data, and benchmarked controller performance in terms of stability, responsiveness, and constraint handling. Batch Mix Simulator: Simulated a batch mixing system using a PIC16F84A microcontroller programmed in Assembly via MPLAB. Specified system inputs/outputs, created flowcharts, and programmed logic to control fluid mixing, heating, and pumping in three selectable modes. Elevator Control System – PLC Simulation: Designed and simulated a multi-floor elevator control system using ladder logic in a PLC environment. Implemented safety interlocks, floor selection logic, door control, and emergency stop features.

Courses and Certifications

• Embedded Systems Training – INJO4 (2025)

• Deep Learning Specialization – Coursera (2023)

• NLP Training Workshop – SHAI for AI (2022)

Competitions and Awards

• Won Best Strategy Award & ranked 5th in the Sumo Robot Competition – Al Hussein Technical University, 2023

• Awarded 2nd Place in the Health-Tech Hustle Competition for AI-based heart disease detection – IEEE EMBS HU, March 2023

• Led the winning team in the AI & IoT Challenge with the “Cardio Vigilant” project – Arab IoT & AI Challenge, October 2022

• Represented Jordan at GITEX Dubai by presenting the “Cardio Vigilant” healthcare solution – GITEX Technology Week, 2022

• Ranked among the top 10 teams in the 8th Hakeem Academy Annual Competition for developing a smartphone-attached retinal imaging device – Hakeem Academy, August 2023

• Won 1st Place in the Arab Creativity Award for Arabic writing – Philadelphia University, October 2016 Extracurricular Activities & Volunteering

• Content Creator – Designed and published kids' coloring books on Amazon KDP; creating educational content for YouTube.

• IEEE UJSB – Graphic Designer and PR Team Member.

• Noor Al Hussein Foundation – Video Editor for childhood anemia awareness (2019).

• Event & Community Volunteer – Organized and participated in educational and scientific events (e.g., Eye Lense with Shai Company).

• Language Learner – Self-studying Turkish and improving Bosnian fluency.

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