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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01 — About

Who I Am

Omar Alethamat

AI & Robotics Engineer focused on Computer Vision, Robotics, and autonomous intelligent systems, with hands-on experience developing real-world AI and embedded applications.

Passionate about building practical technologies that combine software, hardware, sensors, and robotics into functional systems, including space and advanced engineering applications.

Experienced in designing end-to-end solutions through experimentation, system integration, and applied AI engineering.

30+ Projects Completed
2+ Years Experience
Download CV Let's Talk
02 — Projects

Featured Work

A selection of projects that showcase my skills and experience.

AI

AI_VisionPong

Computer vision game controlled by hand gestures using OpenCV and MediaPipe in real time.

Python OpenCV MediaPipe
Source Code
AI

AI_GripLab

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

Python Reinforcement Learning Robotics
Source Code
AI

AI_STT_Service

Speech-to-text service using FastAPI with authentication and AI transcription pipeline.

Python FastAPI AI
Source Code
42

42_Minishell

Custom Unix shell implemented in C with support for pipes, redirections, and process control.

C Unix System Programming
Source Code
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, allowing the player to explore the environment — inspired by early 3D games like Wolfenstein.

C Raycasting Graphics MiniLibX
Source Code
AI Featured

AI_NetGuard

AI-powered Network Intrusion Detection System trained on CIC-IDS-2017. Captures real-time network traffic using Scapy, analyzes patterns with an Autoencoder neural network, and triggers alerts on suspicious activity.

Python Deep Learning Autoencoder Cybersecurity Scapy
Source Code
AI

AI_ToxiScan

BiLSTM-based NLP model for hate speech detection with preprocessing, classification, and evaluation metrics.

Python NLP Deep Learning
Source Code
AI

AI_EduVision

EduVision is an AI-powered smart school system for real-time student monitoring using computer vision, smartwatch data, and academic analytics. It analyzes student engagement, focus, and performance through YOLO, MediaPipe Face Mesh, live dashboards, and AI-generated reports.

Machine Learning Computer Vision Deep Learning
Source Code
View All Projects on GitHub
03 — Skills

Technical Expertise

Technologies and tools I work with.

Programming Languages

Python c C++

AI / Machine Learning

PyTorch TensorFlow Scikit-learn HuggingFace OpenCV Data Analysis

Backend / Web Development

FastAPI REST APIs

Data & Databases

PostgreSQL SQL NOSQL

Tools & Platforms

Docker Git / GitHub Linux Azure Cloud Computing Networking

Other Technical Skills

System Design Algorithms Data Structures OOP Teamwork Problem Solving
04 — Experience

Professional Journey

Roles, responsibilities, and milestones.

AI Engineer Intern

Orange Jordan
Feb 2026 — Present 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

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

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
05 — Education

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

Core Curriculum in Computer Software Engineering

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
06 — Certificates

Licenses & Certifications

Courses, certifications, and credentials I've earned.

Sequence Models

DeepLearning.AI
May 2025 Certificate
  • Covered advanced sequence models including RNNs, LSTMs, and NLP applications.
  • Applied deep learning techniques to real-world NLP tasks.
Deep Learning NLP
View Credential

Neural Networks and Deep Learning

DeepLearning.AI
May 2025 Certificate
  • Built foundational neural networks and deep learning architectures.
  • Worked on forward/backward propagation and optimization techniques.
Deep Learning Computer Vision
View Credential

Microsoft Certified: Azure Fundamentals

Microsoft
Mar 2025 Certificate
  • Learned cloud computing fundamentals and Azure services.
  • Credential ID: 8157A6BCB3F129B5
Cloud Computing Azure
View Credential

Machine Learning Virtual Intern - Certificate of Appreciation

Intern Intelligence
Feb 2025 Certificate
  • Completed ML and DL practical tasks on real datasets.
  • Applied models for prediction and analysis.
Machine Learning Deep Learning

Certificate of Participation - IEEEXtreme

IEEEXtreme
Oct 2024 Competition
  • 🏆 1st place at Al-Balqa Applied University – Center.
  • 🇯🇴 Ranked 15th in Jordan out of 140+ teams.
  • 🌍 Ranked 390 globally out of 5801 teams.
Problem Solving Algorithms

Backend Development Course

IEEE BAU CS
Mar 2025 Certificate
  • Learned backend development fundamentals and server-side logic.
Backend Web Development

Back-end Programming for Web Applications

Al-Balqa Applied University (BAU)
Apr 2025 Certificate
  • Developed backend applications and APIs for web systems.
Backend APIs

42 Piscine Intensive Coding Bootcamp

42 Amman
Jan 2025 Bootcamp
  • Completed intensive coding bootcamp focused on low-level programming.
  • Worked on C programming, teamwork, and problem-solving under pressure.
C Teamwork Problem Solving

My Resume / CV

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

Last updated: [04 2026]

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07 — Contact

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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