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I am a motivated entry-level AI, data science, and robotics specialist with hands-on experience in machine learning, data analysis, and automation. I build intelligent algorithms, predictive models, and robotic systems using Python, TensorFlow, PyTorch, and OpenCV. I am passionate about leveraging AI and robotics for innovation and real-world problem solving.…

Anas Al-Kiswani

AI Engineer, Data Scientist, AI Developer, +2

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I am a motivated entry-level AI, data science, and robotics specialist with hands-on experience in machine learning, data analysis, and automation. I build intelligent algorithms, predictive models, and robotic systems using Python, TensorFlow, PyTorch, and OpenCV. I am passionate about leveraging AI and robotics for innovation and real-world problem solving.…

Available to hire

I am a motivated entry-level AI, data science, and robotics specialist with hands-on experience in machine learning, data analysis, and automation. I build intelligent algorithms, predictive models, and robotic systems using Python, TensorFlow, PyTorch, and OpenCV.

I am passionate about leveraging AI and robotics for innovation and real-world problem solving.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Raspberry Pi

Intermediate

Language

Arabic

Fluent

English

Advanced

Work Experience

AI Engineer at BankCube

June 1, 2025 - Present

Developing Enterprise-grade AI system for document tampering detection, OCR-based comparison, and signature verification, fully offline and optimized for banking compliance and CPU performance.

AI, Data Science and Automation Intern at Royal Jordanian Airlines

March 31, 2025 - October 15, 2025

Developing ML use cases for ancillary product recommendation. Building complex airline KPIs with Power BI visuals and DAX. Creating SQL views and procedures to resolve operational and commercial mismatches in RJ Azure data warehouse. Implementing plate recognition for automated vehicle access to parking.

AI and Data Analysis Trainee at The Hope International

April 30, 2023 - October 15, 2025

Completed data preprocessing, feature engineering, and model development for predictive analysis. Applied machine learning techniques using Python, statistical methods, and data visualization for decision optimization.