
PromptHub
Internal platform that combines editing, multi-LLM testing, and Git versioning to turn scattered prompts into traceable, comparable, governed assets.
AI, product, and engineering cases in real-world context
A layered reading: cards for orientation, quick views for context, and full cases for a deeper look.

Internal platform that combines editing, multi-LLM testing, and Git versioning to turn scattered prompts into traceable, comparable, governed assets.

RAG-based assistant able to serve different products from specific knowledge bases, preserve context, and hand off the conversation when automation is not enough.

Applied research comparing Prompt Engineering techniques to improve the quality, reliability, and efficiency of solutions based on language models.

AI product studio that turns raw discovery notes into structured specifications, a prioritized backlog, and a risk matrix with literal traceability.

AI-first product conceived as a lab for integrating Artificial Intelligence, product, architecture, and experience from problem definition through implementation.

Demonstration chatbot that combines embeddings, vector search with FAISS, and Google Gemini to answer questions from a synthetic knowledge base.

Product prototype that organizes resume analysis into scores, strengths, gaps, keywords, and actionable suggestions for people seeking opportunities.

Experimental project about hotel pricing with Machine Learning and Artificial Intelligence, connecting data, product hypotheses, and an experience for investigating price.
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