video1.0<iframe src="https://www.loom.com/embed/6f991b87a3ca437b9083a9cfeb8bbf7c" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/6f991b87a3ca437b9083a9cfeb8bbf7c-c93e7a6dc663f0ef.gif253.938Hi, I am Yasharaj Kupikler and this is my AI agent project for Scaler’s internship assessment. It represents me and can answer questions about my work, projects, and professional experiences, through both chat and voice phone call modes. The backend is FastAPI deployed on Railway, with semantic caching and token saving so cache hits respond in under 300 milliseconds. I used OPIC for observability and prompt versioning, and embedded structured facts from my resume and GitHub data into Pinecone. No action was requested from viewers.