Available for opportunities

Hello, I'm

Omar Al Ethamat

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I build real-world AI systems, scalable backend architectures, and intelligent solutions.

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Who I Am

Omar Alethamat

Computer Vision, Robotics, and Embedded Systems Engineer with practical experience in autonomous systems, robotic software development, embedded programming, and AI-powered perception.

Experienced in designing and developing computer vision pipelines, robotic applications, and embedded solutions using ROS 2, Gazebo, OpenCV, PyTorch, YOLO, microcontrollers, and modern AI frameworks. Worked on projects involving UAVs, UGVs, satellite technologies, intelligent monitoring systems, and autonomous inspection platforms.

Passionate about building intelligent systems that combine perception, autonomy, and real-world deployment.

30+ Projects Completed
2+ Years Experience

Featured Work

A selection of projects in AI, computer vision, robotics, and systems engineering.

AI Featured

EduVision — Smart School System

Multimodal AI smart school system for real-time student monitoring using cameras, smartwatch data, and academic analytics. Includes YOLOv8 engagement detection, MediaPipe Face Mesh focus analysis, dashboards, and AI-generated reports.

Python YOLOv8 MediaPipe Computer Vision Machine Learning
AI Featured

SolarGuard — Autonomous UAV–UGV Solar Farm Inspection System

Distributed multi-robot inspection system using ROS 2 and Gazebo for autonomous solar farm inspection, UAV–UGV cooperation, task allocation, inter-robot communication, and AI-driven fault analysis.

ROS 2 Gazebo Nav2 Robotics Computer Vision
AI Featured

OrbitCV — Satellite Image Processing Tool

End-to-end satellite imaging pipeline combining SDR-based satellite signal acquisition, image reconstruction, classical computer vision, and deep learning analysis for satellite imagery.

C++ OpenCV PyTorch Remote Sensing Satellite Imaging
AI

AI_GripLab

Reinforcement learning project for robotic manipulation, comparing PPO and SAC+HER on Fetch environments and achieving up to 98% success rate in pick-and-place tasks.

Python Reinforcement Learning Robotics
42

MiniShell — System Programming Project

Unix-like shell implemented in C with pipes, redirections, environment variable expansion, custom lexer/parser, process execution, file descriptors, and signal handling.

C Unix System Programming Processes
42

ft_irc — IRC Server in C++

Robust IRC server in C++98 using a non-blocking poll() architecture, supporting multiple concurrent clients, authentication, channel management, messaging, and core IRC protocol features.

C++98 Networking Sockets poll()
42

42_cub3D

A simple 3D maze game built using raycasting in C. The engine parses a 2D map from a .cub file and renders a real-time first-person view inspired by early 3D games like Wolfenstein.

C Raycasting Graphics MiniLibX

Technical Expertise

Technologies and tools I use to build intelligent autonomous systems.

Computer Vision

OpenCV YOLOv8 MediaPipe Image Processing Image Analysis Object Detection Feature Extraction Face Mesh

Machine Learning & AI

PyTorch TensorFlow Scikit-learn Deep Learning Multimodal AI Classification Segmentation Predictive Modeling

Robotics & Autonomous Systems

ROS 2 Gazebo Nav2 UAV–UGV Systems Autonomous Navigation Multi-Robot Systems Robot Simulation Sensor Integration

Embedded Systems

RTOS ESP32 Arduino Raspberry Pi Microcontrollers

Programming Languages

Python C++ C

Tools & Platforms

Linux Docker Git Azure Make

Professional Journey

Roles, responsibilities, and milestones.

Embedded Software Engineer

Al-Rhim Sat
Nov 2025 — Present Part-time
  • Developing embedded software for a student-led 1U CubeSat selected for launch through United Nations Office for Outer Space Affairs (UNOOSA) and Exolaunch initiative.
  • Programming the On-Board Computer (OBC), handling data processing and satellite communication functions.
  • Designing and implementing microcontroller-based systems for wildlife tracking using LoRa technology in real-world environments.
Embedded Systems C C++ Linux

Computer Vision Engineer

Qynerva
Apr 2025 — Present Full-time
  • Developed multi-stage deep learning pipeline (segmentation, classification, XAI).
  • Achieved 96.77% accuracy (F1: 0.9679) across 4 tumor classes (100% on normal).
  • Built segmentation model with 98.98% voxel accuracy (Dice up to 0.78).
  • Designed explainable AI using visual heatmaps.
  • Developed end-to-end platform with backend + chatbot.
  • Applied generative AI techniques to synthesize MRI data.
Deep Learning Computer Vision NLP Python AI Systems

AI Engineer Intern

Orange Jordan
Feb 2026 — May 2026 Internship
  • Applied Computer Vision and image preprocessing techniques for real-world AI applications.
  • Developed an end-to-end Speech-to-Text (STT) service, including model development, backend APIs, and production deployment.
  • Built and optimized scalable backend and data systems, including RAG pipelines, database integration, and large-scale data processing using Apache Spark.
Machine Learning Databases Python Teamwork

Machine Learning Virtual Intern

Intern Intelligence
Feb 2025 — Mar 2025 Internship
  • Developed 3+ ML/NLP models (cybersecurity, healthcare, text classification), achieving up to 98% accuracy in spam detection and 96%+ in medical classification.
  • Built end-to-end pipelines including preprocessing, TF-IDF/LSTM modeling, and hyperparameter tuning (GridSearchCV), improving model performance by 10–15%.
  • Deployed interactive apps using Streamlit for real-time prediction and moderation, handling multi-class classification with 87% accuracy.
Machine Learning Deep Learning

Natural Language Processing Engineer

High Yield Medicine
Feb 2025 — Mar 2025 Freelance
  • Developed an NLP-based medical research retrieval system, achieving 100% recall (no missed relevant studies) and 79% precision when benchmarked against expert annotations.
  • Integrated LLMs and external APIs to improve search relevance, reaching an F1-score of 0.88 and increasing the accuracy of literature discovery.
AI Python Healthcare AI

Academic Background

Degrees, institutions, and academic milestones.

Bachelor's Degree in Artificial Intelligence & Robotics

Al-Balqa Applied University (BAU)
Nov 2022 — Oct 2026 Bachelor's Degree
  • Focused on AI, Robotics, and intelligent systems development.
  • Strong foundation in Machine Learning, Deep Learning, and Computer Vision.
  • Applied projects in NLP and data-driven problem solving.
Artificial Intelligence Machine Learning Deep Learning Computer Vision NLP Python Java Linux Neural Networks Data Analysis Problem Solving

Software Engineering & Computer Science Core Curriculum

42 Amman
Aug 2025 — Oct 2026 Certification
  • Intensive peer-to-peer learning with real-world software engineering challenges.
  • Built strong foundations in systems programming and networking.
  • Collaborative projects emphasizing teamwork and problem-solving.
C C++ Networking System Administration Linux OOP Graphics Teamwork Problem Solving

Licenses & Certifications

Courses, certifications, and credentials I've earned.

Mastering ROS 2 for Robotics Programming Specialization

Packt
May 2026 Certificate

Deep Learning for Computer Vision Specialization

MathWorks
May 2026 Certificate

Deep Learning Specialization

DeepLearning.AI
Mar 2026 Certificate

Machine Learning Specialization

DeepLearning.AI
May 2026 Certificate

Azure Fundamentals

Microsoft
May 2025 Competition

My Resume / CV

Download my full CV to see my complete professional background, education, projects, and skills.

Last updated: [04 2026]

Let's Connect

Whether you have a project in mind, an opportunity, or just want to say hello — I'd love to hear from you.

Get in Touch

I'm currently open to new opportunities — whether it's a full-time role, freelance project, or interesting collaboration.

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