I have built a few projects that are very relevant to this role. My most important project is a RAG pipeline. I used LangChain, Semantic Kernel, and AutoGen to build it. It takes documents, stores them, searches through them, and uses an AI model to give answers. I used the Claude and OpenAI APIs to make it work. I also built an AI web app called EmoteAI. It uses a real-time AI model to detect emotions from a camera and shows the results on a website. I also trained a machine learning model on 35,000 images completely from scratch. It reached 64 percent accuracy. It failed two times during training and I found the exact reason each time and fixed it. I also built a full platform called SurveyLab completely by myself. It has a frontend, a backend, and a database, all connected together. And during my internship I wrote Python scripts that automated tasks the team was doing manually every day. That saved the team a lot of time. I think all of these projects show that I can build real AI tools and ship them, which is exactly what Symend needs.