A look at the AI technology and architecture powering this Digital Twin CV. Built with modern web technologies and large language models.
A Digital Twin CV is an AI-powered representation of a professional's career and expertise. Unlike a static resume, it can engage in natural conversations, answer specific questions, and provide contextual information about experience, skills, and projects. The AI is grounded in a structured knowledge base to ensure accuracy and relevance.
Career information is structured into categorized entries covering experience, skills, education, and projects. Each entry includes metadata and keywords for efficient retrieval.
When you ask a question, the system searches the knowledge base using keyword matching and semantic relevance to find the most relevant information.
Relevant knowledge entries are assembled into a context window, providing the AI with specific, accurate information about Leandro's background.
The LLM generates a response using the provided context, ensuring answers are grounded in real career data rather than hallucinated information.
This Digital Twin CV was created through an iterative process of AI-assisted development. The combination of modern web frameworks, type-safe APIs, and large language models enables a new way to present professional credentials—one that's interactive, informative, and engaging.