AI Engineer
Generative AI & RAG
I build production-style LLM applications — multimodal RAG chatbots, AI-assisted learning platforms — backed by 10+ years of enterprise systems, troubleshooting, and automation experience.
I build production-style LLM applications — multimodal RAG chatbots, AI-assisted learning platforms — backed by 10+ years of enterprise systems, troubleshooting, and automation experience.
The short version of how a decade in IT support turned into AI engineering.
I'm an AI Engineer specializing in Generative AI and Retrieval-Augmented Generation (RAG), with a 10+ year foundation in production systems, root-cause analysis, and API troubleshooting from an enterprise IT career across Germany and the Middle East.
Since August 2025 I've been building Mnemova, a live spaced-repetition learning platform that turns raw notes into AI-generated study exercises. Since June 2026 I've been deepening that work through Ironhack's AI Engineering Bootcamp, where I built streamTube, a multimodal RAG chatbot that answers questions about any YouTube video with citations grounded in both audio and visual content.
My IT background isn't separate from this — it's the reason I approach AI engineering with production discipline: the same root-cause thinking now applies to debugging LLM pipelines, the same API troubleshooting applies to integrating LLM services, and the same automation mindset applies to building reliable AI systems.
Production-style builds from the AI Engineering Bootcamp and independent product development.
An end-to-end multimodal RAG chatbot that answers natural-language questions about any YouTube video by combining timestamped audio transcription with vision-based frame captioning and OCR. A LangGraph/LangChain agent retrieves from merged transcript and frame vector indexes and grounds every answer with clickable timestamp citations — explicitly returning "not covered" instead of a hallucinated answer when information is missing.
A live, production learning app I founded and built that converts raw notes into flashcards, fill-in-the-blank, multiple-choice, and word-pick exercises — combining deterministic rule-based generation with an AI layer for richer, automatically generated exercises from unstructured text. Personalizes review scheduling with a full SM-2 spaced-repetition engine.
Keyword-mapped to Generative AI / RAG-focused AI Engineer roles.
10+ years of production systems experience, now applied to AI engineering.
Designed and built a live spaced-repetition learning platform combining a deterministic SM-2 scheduling engine with an AI layer that generates study exercises from raw notes. Extended into Ironhack's AI Engineering Bootcamp to formalize and deepen LLM engineering skills.
Built a React.js/Redux dashboard for animation and script processes; ran automated Node.js test suites across environments.
Managed network security configuration and automated backup systems for staff and volunteers.
Administered Active Directory, ISA Server, and firewall configurations; maintained web infrastructure and inter-company networks.
Intensive, project-based program covering Python for AI/ML, LLM application development, RAG architectures, vector databases, model evaluation, and agentic workflows. Capstone: streamTube.
Dual vocational training, Cologne, Germany. IHK (Chamber of Industry and Commerce) certified.
Damascus, Syria.
Generative AI · RAG · LLM Applications — reach out if you're hiring or want to talk shop.