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Computer Science MSc graduate with experience building deep learning pipelines for malware detection, computer vision, and audio sentiment analysis. Proficient in Python, PyTorch, and TensorFlow with experience in neural networks, graph learning, and explainable AI.…

Nour Elkott

AI Engineer, Data Scientist, Programmer, +2

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Computer Science MSc graduate with experience building deep learning pipelines for malware detection, computer vision, and audio sentiment analysis. Proficient in Python, PyTorch, and TensorFlow with experience in neural networks, graph learning, and explainable AI.…

Available to hire

Computer Science MSc graduate with experience building deep learning pipelines for malware detection, computer vision, and audio sentiment analysis. Proficient in Python, PyTorch, and TensorFlow with experience in neural networks, graph learning, and explainable AI.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Graduate Research Assistant at WASP Labs, University of Windsor

January 1, 2023 - February 1, 2026

Designed a deep learning framework for Android malware detection and classification using semantic (DEX image) and structural (function call graph) representations of APK bytecode. Built CNN and GCN pipelines and trained models on 39K samples from the MalNet dataset (9 malware types, 96 families) for hierarchical malware identification. Developed static analysis pipelines and applied SHAP and GNNExplainer to interpret model predictions and identify malicious behavioral patterns.

Artificial Intelligence Software Development Intern at Glendor, Inc.

September 1, 2021 - January 31, 2022

Developed a real-time facial recognition system capable of detecting personal identifiers, including faces, face masks, tattoos, and written text, using Haar Cascades, HOG, and Deep Learning algorithms. Deployed the model to anonymize medical images and videos to ensure HIPAA compliance for sensitive patient data.