AI-Native Product Thinking
I enjoy turning ambitious ideas into practical intelligent experiences, whether through agent workflows, retrieval systems, or human-centered AI interfaces.
Software Engineer • AI Systems • Offensive Security
Open to Applied AI & Software Engineering rolesI design AI-era products, agentic workflows, and security-first software that balance ambition with execution.
Current focus
I am a Software Engineering student at Ain Shams University and a Penetration Testing trainee through the Digital Egypt Pioneers Initiative (DEPI), with a strong interest in AI-native products, agentic workflows, and security-driven development. I enjoy building systems that feel ambitious but still practical: from retrieval-augmented assistants and MCP-oriented integrations to mobile products and large-scale engineering challenges.
I enjoy turning ambitious ideas into practical intelligent experiences, whether through agent workflows, retrieval systems, or human-centered AI interfaces.
My offensive-security background helps me design systems that are not only functional but resilient, testable, and hard to break.
I like building things that feel smart, elegant, and useful — from mobile apps to distributed systems and experimental AI products.
Production-style retrieval-augmented Q&A service: a FastAPI layer for document upload, chunking, and indexing, vector storage in PostgreSQL + pgvector, async ingestion via Celery, and augmented-answer generation over the OpenAI API / local Ollama models.
An MCP-based multi-agent system that exposes sub-company operations as tool servers, orchestrated with LangGraph for branching/parallel tool routing, LangChain for retrieval and prompt chains, and Claude/Ollama for inference — fully traced with LangSmith.
Used OWASP Juice Shop as a hands-on offensive security playground to uncover vulnerabilities, validate attack paths, and think like both attacker and defender. This strengthened my ability to approach security with curiosity, precision, and real-world judgment.
Developed a resilient peer-to-peer emergency app with WiFi Direct, encrypted storage, and speech interaction — showing how I combine reliability, security, and user-centered design in mobile products.
Built a modern mobile experience focused on usability, personalization, and real-world impact. It reflects a strong balance of product thinking, clean implementation, and the ability to turn an idea into a polished app.
Privacy-preserving intrusion detection for automotive CAN bus traffic: local training on Raspberry Pi edge nodes and a Flask REST API that aggregates model updates via Flower — no raw vehicle data ever leaves a node.
Specialized in penetration testing, vulnerability assessment, exploitation, and secure reporting.
Focus: software architecture and secure coding.
Coursework: Software Security, Network Security, Cryptography, Ethical Hacking
C, C++, Python, JavaScript, Java, Kotlin
Flutter (MVVM), Node.js, Express.js, Flask, Flower, FreeRTOS
RAG systems, AI agents, retrieval pipelines, MCP-style integrations, LLM application design
Kali Linux, Wireshark, Metasploit, Burp Suite, OWASP testing workflows
Penetration Testing, Mobile Development, Embedded Systems, Secure Product Engineering
If you are building an AI product, an agentic platform, or a security-first experience, I would be glad to collaborate.