I'm Aows
About Me
I'm a Computer Science graduated from King Saud University with a strong foundation in Artificial Intelligence, Machine Learning and Cybersecurity
I’m currently working on real-world AI solutions, with a focus on machine learning, natural language processing, and responsible AI practices. As an AI professional, my goal is to drive impactful innovation while ensuring ethical and transparent use of AI technologies. I’m committed to advancing the field through practical applications that solve complex problems and deliver meaningful value.
Experience
- Text Based LLM Fine-tuning & Deployment
Processed English datasets (including PII removal), fine-tuned text-based LLMs with over 250,000 JSON files using training frameworks, and deployed them on Google Cloud Platform (GCP) using ollama and vLLM framework.
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- Vision Based LLM Fine-tuning & Deployment
Managed Arabic image dataset lifecycle (preprocessing, cleaning, PII removal), that included over 15,000 images with text, evaluated vision models, fine-tuned the optimal VLM, and deployed on GCP.
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- RAG System Development & Deployment
Built and deployed an AI system on GCP for querying and retrieving information from Arabic PDF datasets using retrievalaugmented generation.
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- Liver Tumor Classification Model & Paper
Developed a multi-class model (normal, benign, malignant) using medical images; compared architectures like EfficientNet, ResNet, ViT-16, Inception and achieved a high accuracy with 95%.Â
Projects
- Cybersecurity Compliance Checker Tool (3CT) – Graduation Project Developed a tool that assesses software source code against National Cybersecurity Authority (NCA) controls. 3CT identifies vulnerabilities and maps them to violated controls, offering insights into security risks and compliance. Built in Python, it leverages SonarQube for static analysis and AI for suggesting code fixes.Â
- OptiLogix: Route Optimizer for Third-Party Logistic Companies OptiLogix is a unified platform that dynamically optimizes delivery routes by assigning nearby pickups or drop-offs to couriers that’re already in route, reducing road congestion and operational costs while maximizing delivery efficiency. Applied K-Nearest Neighbors (KNN) to identify the closest houses, integrated Google Maps API for route optimization, and built the web interface using React.
Certifications (Cybersecurity)
- Ethical Hacker NanoDegree
- Junior Penetration Tester (eJPTv2)
- Web Application Penetration Tester (eWPTv2)
- CompTIA Security+ (SY0-701)
- Udacity - Sep 2022
- INE Security - Feb 2024
- INE Security - Jul 2024
- CompTIA - Apr 2025
Skills
- Machine Learning
- Cybersecurity
- Web Application Security
- Data Preprocessing
- Programming languages: Python, Java, C
- Google Cloud Platform
- Tools & Frameworks: PyTorch, Scikit-learn, Unsloth
- Team Work
- Communication
- Time Management
- Attention to Detail
- Self-directed Learning