Abdallah sindi
@abdallahsindi
I build AI systems and test networks and applications for security vulnerabilities.
What I'm looking for
I've built AI and cybersecurity projects spanning fake-news detection, computer vision, penetration testing, and network defense. My fake news classifier used TensorFlow/Keras, TF-IDF, and NLP to achieve 97.50% test accuracy with 0.97–0.98 F1 scores.
During AI training at AMIT Learning, I built neural networks, CNNs, RAG systems, and AI-agent applications using Python, PyTorch, Hugging Face, FastAPI, Docker, and ONNX. I also developed a Smart Fit Size Detector combining Python, OpenCV, C++, and PyBind11 for real-time camera-based body measurement and clothing-size classification.
At Telecom Egypt, I performed full-lifecycle penetration testing with Nmap, Metasploit, Wireshark, Hydra, John the Ripper, and DVWA, documenting findings and security-hardening recommendations.
Experience
Work history, roles, and key accomplishments
Artificial Intelligence Intern
AMIT Learning
Jun 2026 - Jul 2026 (1 month)
Completed an intensive, project-based AI & Deep Learning program using Python and PyTorch, building neural networks, CNNs, and modern architectures for computer vision tasks. Studied NLP fundamentals through Transformers, BERT/GPT, and fine-tuning pretrained models with Hugging Face; explored Generative AI including VAEs, GANs, Diffusion Models, and LLMs. Built RAG systems and worked with AI Agent
Education
Degrees, certifications, and relevant coursework
Misr University for Science and Technology (MUST)
Bachelor of Science, Computer Engineering
2023 -
Pursuing a Bachelor of Science in Computer Engineering with a focus on AI and Cybersecurity.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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