Open to opportunities

خالد محمد

@0002608

Message

I’m a high-velocity AI developer delivering end-to-end Generative AI solutions—14+ production projects in weeks.

Egypt

Message

What I'm looking for

I’m looking for a team that values fast iteration and production-grade GenAI. I want to build end-to-end RAG/LLM systems with Dockerized deployments and CI/CD, paired with clear communication and robust security from day one.

I’m a high-velocity AI developer focused on end-to-end Generative AI and Machine Learning solutions. I turn complex business problems into clean, scalable AI products with fast turnaround and clear communication.

I’ve architected and deployed 14 production-ready AI projects in 26 days, spanning RAG document assistants, intelligent chatbots, and ML fraud detection systems with 92%+ accuracy. In my project work, I trained fraud-detection models on 284,800+ transactions using Scikit-learn and Random Forest, and I focused on building systems that are not just demos, but reliable, deployable products.

I bring deep expertise in Python-based backends (Flask, FastAPI), Dockerized deployment, and LLM integration with LangChain and ChromaDB. I deliver fully documented, Docker-ready applications with CI/CD via GitHub Actions, and I pay attention to production details like JWT authentication, rate limiting, Pydantic validation, and real-time streaming with SSE.

Experience

Work history, roles, and key accomplishments

Current

Independent AI Developer

Current

Independent

Mar 2026 - Present (3 months)

Architected and deployed 14+ production AI applications in a 50-day sprint, including an ML fraud detection model with 92%+ accuracy and RAG document assistants. Built secure Flask/Python services with Docker and CI/CD (GitHub Actions), integrating Groq/LLM workflows, JWT auth, and real-time streaming via SSE.

Python Flask ChromaDB RAG scikit learn Random Forest Groq LLM API Docker JWT

Education

Degrees, certifications, and relevant coursework

Commercial Technical Secondary School

Diploma in Commerce & Information Technology, Commerce & Information Technology

Commercial Technical Secondary School student focused on commerce & information technology, with an expected graduation in June 2025. Studies emphasized computer applications, business technology, and information systems.

Self-Directed Learning

Self-Directed Learning, Data Science, Machine Learning & Cloud Computing

Activities and societies: Self-leveraged technical foundation to master advanced AI frameworks and full-stack development independently; deployed 14+ production-level AI applications.

Completed intensive self-study tracks in data science, machine learning, and cloud computing. Used the training to deploy 14+ production-level AI applications.