I'm an AI product builder and consultant with hands-on experience designing and shipping LLM-powered applications from scratch. My most relevant project is Luna, an AI research assistant built on a RAG architecture — LangChain orchestration, Pinecone vector search, OpenAI API — where I owned the full stack from problem definition to deployed product independently. For this specific project, what makes me relevant is the combination of AI application experience and product thinking at the MVP stage. I understand how to scope what's actually needed for a first version versus what can wait, how to select the right technology stack for a scalable but lightweight MVP, and how to translate technical constraints into clear roadmaps for non-technical stakeholders — which is exactly what early-stage founders need at the planning phase. On Arabic NLP specifically: modern LLMs including GPT-4 and Claude handle Arabic reasonably well for conversational coaching use cases, but there are real considerations around dialect variation, right-to-left UI implementation, and fine-tuning needs for wellness-specific vocabulary that I can advise on directly. I've worked with OpenAI's API extensively and understand where Arabic language support is strong and where it requires additional tooling or prompt engineering to perform reliably. I also bring a commercial lens — from three years of market analysis at CSIL — that helps frame cost estimation and scalability planning in business terms, not just technical ones. What makes me stand out: I don't just advise on what's technically possible. I help founders figure out what's actually worth building first.…I'm an AI product builder and consultant with hands-on experience designing and shipping LLM-powered applications from scratch. My most relevant project is Luna, an AI research assistant built on a RAG architecture — LangChain orchestration, Pinecone vector search, OpenAI API — where I owned the full stack from problem definition to deployed product independently. For this specific project, what makes me relevant is the combination of AI application experience and product thinking at the MVP stage. I understand how to scope what's actually needed for a first version versus what can wait, how to select the right technology stack for a scalable but lightweight MVP, and how to translate technical constraints into clear roadmaps for non-technical stakeholders — which is exactly what early-stage founders need at the planning phase. On Arabic NLP specifically: modern LLMs including GPT-4 and Claude handle Arabic reasonably well for conversational coaching use cases, but there are real considerations around dialect variation, right-to-left UI implementation, and fine-tuning needs for wellness-specific vocabulary that I can advise on directly. I've worked with OpenAI's API extensively and understand where Arabic language support is strong and where it requires additional tooling or prompt engineering to perform reliably. I also bring a commercial lens — from three years of market analysis at CSIL — that helps frame cost estimation and scalability planning in business terms, not just technical ones. What makes me stand out: I don't just advise on what's technically possible. I help founders figure out what's actually worth building first.WWWW…