Aug 2025 – Sep 2025 · 1 mo · Remote

• Worked on RAY distributed library to scale machine learning workflows and optimize distributed training.
• Contributed to projects using Chainlet for building and orchestrating AI pipelines.
• Gained hands-on experience in distributed computing, model deployment, and workflow automation for AI applications.
• RAY, Chainlet, Python, AI/ML frameworks.

Jul 2025 – Oct 2025 · 3 mos · 6th of October · Hybrid

• During my internship, I worked on building an Intelligent Financial Research Agent on Databricks for the FinTech & Banking sector. The project combined AI, NLP, and data engineering to deliver accurate, scalable, and regulatory-compliant insights.
• Key Contributions:
• Developed a Retrieval-Augmented Generation (RAG) system with FinTech documents, charts, and tables.
• Integrated the World Bank MCP API to analyze global socioeconomic indicators and development trends.
• Implemented Genie in Databricks for natural language to SQL translation, enabling seamless interaction with structured data.
• Utilized Tavily Web Search to provide real-time, contextual information optimized for AI agents.
• Completed advanced training in data analysis, preparation, machine learning, and Generative AI through Databricks Academy.
• This experience strengthened my expertise in AI, Generative AI, NLP, and applied ML, while also building skills in collaboration, scalability, and practical AI solutions for finance.

Jun 2025 – Jul 2025 · 1 mo · The 5th Settlement, New Cairo, Egypt · On-site

• ▪ engaged in an intensive 4-week internship covering core cybersecurity domains:
• Systems Security: Hands-on training with Kaspersky Screen ID, ISE, SFTP, and Symantec DLP tools.
• Penetration Testing: Conducting simulated attacks and vulnerability assessments.
• Network Security: Learning defensive strategies and infrastructure hardening techniques.
• SOC Operations: Gaining experience in incident response, memory forensics (Volatility), and threat intelligence.
• ▪ Collaborating with industry experts to apply theoretical knowledge in real-world scenarios.

Mar 2025 – Jul 2025 · 4 mos · Smart Village, Al Jizah, Egypt · On-site

• Focused on network security, firewalls, and penetration testing; hardened systems, blocked intrusions, ensured availability.
• Performed ethical hacking, vulnerability assessment; identified weaknesses, simulated attacks, improved defenses.
• Handled threat mitigation, incident response, and system defense; analyzed logs, secured endpoints, reduced risks.
• Built ML models for threat detection and anomaly analysis; processed data, trained algorithms, predicted attacks.
• Used AI in intrusion detection, authentication, and response; flagged anomalies, enhanced login security, automated alerts.
• Applied AI to automate ethical hacking and vulnerability scans; scanned systems, prioritized threats, accelerated testing.

Sep 2024 – Oct 2024 · 1 mo · El Mansoura, Ad Daqahliyah, Egypt · On-site

• Acquired foundational expertise in Artificial Intelligence (AI) concepts and their practical applications across diverse domains.
• Preprocessed structured and unstructured data, including CSV, Excel, text, and images, to prepare it for machine learning models.
• Developed and optimized machine learning and deep learning models, including regression, classification, CNNs, and RNNs, for data analysis and complex modeling.
• Enhanced model performance using evaluation metrics such as accuracy, precision, recall, and F1-score.
• Demonstrated strong communication, collaboration, and leadership skills while managing team projects and solving complex problems.
• Adapted to challenges with a growth mindset, embracing continuous learning to stay updated with AI advancements.
• Delivered data analysis and machine learning solutions, transforming complex datasets into actionable insights for clients.
• Executed AI-related projects, including model development, optimization, and preprocessing, while ensuring high-quality, timely deliverables.

Oct 2024 – Sep 2025 · 11 mos · Cairo, Egypt · Hybrid

• Google Cybersecurity
• Identify common cybersecurity risks, threats, and vulnerabilities to enhance organizational security.
• Mitigate security risks using techniques learned through hands-on, practice-based assessments.
• Utilize beginner-level Python, Linux, and SQL to automate and manage cybersecurity tasks.
• Operate SIEM tools and Intrusion Detection Systems (IDS) for threat monitoring.
• Respond to security incidents by applying detection and response strategies to protect assets.
• EC-Council Cybersecurity Attack and Defense Fundamentals
• Ethical Hacking Essentials (EHE) :
• Mastered ethical hacking techniques like footprinting, scanning, and system hacking.
• Network Defense Essentials (NDE) :
• Learned to design secure networks and use firewalls and IDS for defense.
• Digital Forensics Essentials (DFE) :
• Gained expertise in evidence acquisition and cybercrime investigation.
• Try Hack Me
• FortiGate FortiManger FortiSIEM

Apr 2024 – Nov 2024 · 7 mos · Qesm El Zamalek, Cairo, Egypt · Hybrid

• ⦿ Applied foundational concepts in Statistics and Linear Algebra to analyze and interpret data effectively.
• ⦿ Developed data-driven solutions using Python to address complex data science challenges.
• ⦿ Implemented Machine Learning models to solve real-world problems and improve decision-making processes.
• ⦿ Gained proficiency in Azure AI Fundamentals to design and deploy AI solutions in cloud environments.
• ⦿ Engineered prompts and managed Machine Learning projects using MLOps tools like MLflow and Hugging Face for optimized model performance.

Sep 2023 – Feb 2024 · 5 mos · Mohandessin, Giza, Egypt · On-site

• ⦿ Delve into the fundamentals of embedded systems
• ⦿ Programming in C and Designing Data Structures
• ⦿ Utilizing Embedded System Tools
• ⦿ Interfacing Microcontrollers (AVR & ARM)
• ⦿ Analyzing Computer Architecture
• ⦿ Implementing Real-Time Operating Systems (RTOS)
• ⦿ Applying Automotive Bus Technology
• ⦿ Introducing and Implementing AUTOSAR Concepts
• ⦿ Performing Software Testing and Validation