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Profile

Motivated Computer Engineering student with a strong foundation in computer science and engineering principles. Proven ability to solve problems and collaborate effectively in team environments. Seeking opportunities to apply technical skills and contribute to innovative projects.

Education
Bachelor in Computer and Systems Engineering, Alexandria University
Sep 2021 – present | Alexandria, Egypt

CGPA: 3.84/4.0

Skills
Problem Solving and Competitive Programming — Experienced in competitive programming, having solved over 1000 problems on platforms such as Codeforces and LeetCode
Machine Learning & AI — Experience with classical and deep learning techniques using PyTorch, and Scikit-learn
Computer Vision — Experience with OpenCV, object detection (YOLO, CNNs), and underwater image processing
Data Analysis & Processing — Skilled in Pandas, NumPy, and feature engineering for AI models
OOP & Design Patterns — Proficient in Object-Oriented Programming (OOP) principles and design patterns
Data Structure & Algorithms — Strong understanding of data structures and algorithms
Robotics — Experience with Robot Operating System (ROS) and robotics principles
Languages and Frameworks
Programming Languages — C, C++, Java, R, Python, Prolog and VHDL
Frontend — HTML, CSS, JavaScript, Vue.js and Svelte.js, React.js
Backend — Springboot
Databases — MySQL
Organizations
M.I.A. Robotics, Electrical ROV Team Leader
FOE Alexandria ICPC Community, Instructor
ACM Alexandria Student Chapter, Technical Team Member
Projects
OceanEye

Trained a deep learning model for underwater species classification and object tracking, achieving 1st place in the world once and 2nd place another time.

Autonomous Underwater Vehicle (AUV) Missions

Developed AI-based navigation and perception systems for an autonomous underwater vehicle performing real-time object detection and mission execution.

Underwater Color Correction

Developed a classical image processing pipeline for underwater image enhancement, improving visibility and restoring natural colors for marine research and robotics applications.

Heart Failure Classification Problem

Built a machine learning model to classify heart failure risk based on patient health metrics, optimizing for accuracy and interpretability in medical diagnostics.

AIC-3: Egypt National Artificial Intelligence Competition

Ranked 5th in the online qualification round of Egypt’s national AI competition and advanced to the onsite finals, working on EEG signal classification for Brain-Computer Interface tasks, including Steady-State Visual Evoked Potentials (SSVEP) and Motor Imagery (MI).

Speech Emotion Recognition, With Python
Awards and Achievements
Expert, Codeforces
ECPC Finalist, ECPC
2nd Place, NOAA International Competition
1st Place, UWR Challenges (AUV)
2nd Place, UWR Challenges (ROV)
Best Programming & Image Processing Team, MATE Egypt

x2 (May 2024, April 2025)

1st Place Explorer Category, MATE Egypt

x2 (May 2024, April 2025)

AbdElRahman Osama
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