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I am a recent Master's graduate in Artificial Intelligence with strong foundations in machine learning, data analysis, and software development. I am proficient in Python and have hands-on experience with tools like TensorFlow, scikit-learn, and SQL. Through my academic projects and internships, I have developed expertise in deep learning, deception detection, physics-informed neural networks, and image classification. I am passionate about applying AI and machine learning knowledge to real-world problems and contributing to innovative projects. I am an active, determined, and self-motivated individual, eager to join a reputable organization where I can grow professionally and make a meaningful impact.…I am a recent Master's graduate in Artificial Intelligence with strong foundations in machine learning, data analysis, and software development. I am proficient in Python and have hands-on experience with tools like TensorFlow, scikit-learn, and SQL. Through my academic projects and internships, I have developed expertise in deep learning, deception detection, physics-informed neural networks, and image classification. I am passionate about applying AI and machine learning knowledge to real-world problems and contributing to innovative projects. I am an active, determined, and self-motivated individual, eager to join a reputable organization where I can grow professionally and make a meaningful impact.

ALI AL AHMAD

AI Engineer, Data Scientist, Developer, +1

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I am a recent Master's graduate in Artificial Intelligence with strong foundations in machine learning, data analysis, and software development. I am proficient in Python and have hands-on experience with tools like TensorFlow, scikit-learn, and SQL. Through my academic projects and internships, I have developed expertise in deep learning, deception detection, physics-informed neural networks, and image classification. I am passionate about applying AI and machine learning knowledge to real-world problems and contributing to innovative projects. I am an active, determined, and self-motivated individual, eager to join a reputable organization where I can grow professionally and make a meaningful impact.…I am a recent Master's graduate in Artificial Intelligence with strong foundations in machine learning, data analysis, and software development. I am proficient in Python and have hands-on experience with tools like TensorFlow, scikit-learn, and SQL. Through my academic projects and internships, I have developed expertise in deep learning, deception detection, physics-informed neural networks, and image classification. I am passionate about applying AI and machine learning knowledge to real-world problems and contributing to innovative projects. I am an active, determined, and self-motivated individual, eager to join a reputable organization where I can grow professionally and make a meaningful impact.

Available to hire

I am a recent Master’s graduate in Artificial Intelligence with strong foundations in machine learning, data analysis, and software development. I am proficient in Python and have hands-on experience with tools like TensorFlow, scikit-learn, and SQL. Through my academic projects and internships, I have developed expertise in deep learning, deception detection, physics-informed neural networks, and image classification.

I am passionate about applying AI and machine learning knowledge to real-world problems and contributing to innovative projects. I am an active, determined, and self-motivated individual, eager to join a reputable organization where I can grow professionally and make a meaningful impact.

Skills

Experience Level

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

Arabic

Fluent

English

Advanced

French

Intermediate

Work Experience

Master’s Thesis: Deception Detection Using Deep Learning at Kaunas University of Technology

June 30, 2024 - August 2, 2025

Developed a deep learning model to detect deception from facial micro-expressions in video data. Used Python, TensorFlow, and OpenCV to preprocess and classify temporal features. Applied LSTM and CNN layers for temporal and spatial pattern recognition in non-verbal behavior.

AI Research Intern – Physics-Informed Neural Networks (PINNs) at Kaunas University of Technology

February 28, 2025 - August 2, 2025

Built neural networks that incorporate physical laws into the learning process for solving differential equations. Implemented PINNs using PyTorch to model and simulate physics-based systems. Validated model accuracy against analytical solutions.