Raneem Sa'deh

AI & Data Science Engineer

Passionate AI engineer with 780+ hours of applied ML experience, specializing in computer vision, NLP, and end-to-end AI pipeline development. Currently pursuing BSc in AI and Data Science with a 3.86 GPA, creating innovative solutions for real-world challenges.

Explore My Work

About Me

I'm an AI & Data Science Engineer currently pursuing my BSc at Al-Hussein Technical University with a 3.86 GPA. With over 780 hours of hands-on machine learning experience, I've developed expertise across computer vision, natural language processing, and time series modeling.

As Technical Lead of HTU's Data Science Club, I supervise 10+ ML projects and manage a community of 150+ members. I've organized 5+ national AI competitions with 400+ participants, increasing student engagement by 80% through applied AI workshops. My work has been showcased at prestigious events like COP29 and published in IEEE conferences.

I'm passionate about creating AI solutions that address real-world challenges, from waste detection systems achieving 95% accuracy to early cancer detection research. My projects span from autonomous systems using reinforcement learning to geomagnetic storm forecasting for NASA, always focusing on practical applications that make a difference.

Technical Skills

AI & Machine Learning

TensorFlow Reinforcement Learning OpenAI Gym LLMs Scikit-learn Supervised Learning Unsupervised Learning

Deep Learning

Computer Vision NLP RoboFlow YOLOv11 Image Processing Object Detection

Programming & Development

Python C++ Java SQL Unity Algorithms Data Structures

Data Science & Cloud

Pandas Data Visualization Matplotlib Seaborn AWS Google Cloud Big Data Analytics

Soft Skills

Leadership Team Collaboration Problem Solving Communication Project Management

Featured Projects

BiaEye — AI Waste Detection System

Revolutionary waste monitoring system built with YOLOv11, achieving 95% accuracy in waste detection and classification. Showcased at COP29 for its environmental impact and sustainability applications.

YOLOv11 Computer Vision Python RoboFlow

NASA Geomagnetic Storm Forecasting

Designed and implemented RNN architecture for solar storm prediction with 2-second processing speed per data batch. Supports rapid analytical insights for mission-critical space operations.

RNN TensorFlow Time Series Deep Learning

View Code →

ExcelCancer Care — AI Ultrasound Analysis

Conducted AI-based early cancer detection research using ultrasound wave analysis. Presented groundbreaking results at the "AI in Health" regional event, advancing medical AI applications.

Medical AI Signal Processing Machine Learning Healthcare

Research Paper → WebSite →

Autonomous Robotic Arm

Applied Deep Q-Learning using TensorFlow to simulate Robotic Arm balancing operations. Implemented reinforcement learning algorithms for autonomous navigation and safe joints movment.

Deep Q-Learning TensorFlow Reinforcement Learning OpenAI Gym

View Code → Demo →

Experience

Apr 2024 – Present

Technical Lead

Data Science Club, HTU

Supervise 10+ ML projects and manage a club of 150+ members. Organized 5+ national AI competitions with 400+ participants, increasing student engagement by 80% through applied AI workshops and technical leadership.

2022 – Present

AI/ML Engineer

Freelance & Research

Logged 780+ hours of applied ML and end-to-end AI pipeline development across NLP, computer vision, and time series modeling. Published research in IEEE and presented at international conferences including COP29.

Mar 2022 – Present

BSc in AI and Data Science

Al-Hussein Technical University (HTU)

Maintaining a 3.86 GPA while pursuing comprehensive education in artificial intelligence, machine learning, and data science. Active in research projects and technical competitions.

Research Papers

BiaEye — AI Waste Detection System - IEEE

Built with YOLOv11, it reached 95% accuracy. Showcased at COP29

ExcelCancer Care — AI ultrasound waves tuning

Recognized for exceptional performance in national AI competitions, leading teams to victory and enhancing student engagement through innovative AI solutions.

Let's Connect

I'm always excited to discuss innovative AI projects, research collaborations, or opportunities in machine learning and data science. Whether you're interested in my work on computer vision, NLP, or reinforcement learning, I'd love to connect and explore potential synergies!

raneem.sadeh@gmail.com

📍 Amman, Jordan | +962 780 473 652