👋 Hi, I’m Daniel Alcaide
This is my personal website where I write about data science.
Observability in GenAI Agents: From MLflow Traces to Quality Dashboards in Databricks
Building Generative IA (GenAI) agents has shifted from being a novelty to a business necessity. However, once the “Hello World” of your RAG (Retrieval-Augmented Generation) is working, you face the real production challenge: How do I know what is really happening inside my agent? Recently, Databricks has evolved Inference Tables, enabling the capture of payloads and performance metrics directly from Model Serving. However, when we need a deep analysis of the agent’s reasoning—its “thoughts,” document retrieval, and intermediate evaluations—MLflow Traces remain the richest source of truth for understanding the Chain of Thought and intermediate steps. ...
From 1,500 traders to 6 elite: Financial risk analysis system with Databricks and Python
On social trading platforms like eToro, investors can copy the strategies of experienced traders. However, most users focus solely on profitability, ignoring the associated risk. This project addresses precisely that problem. ...