Skills & Tools
Technical skills and applied contexts
A structured view of the technologies, tools and domains I work with, combining data, BI, automation, engineering, governance and strategic thinking.
Academic Background
Postgraduate Degree in AI Engineering and MLOps — PUC Minas
Ongoing program focused on AI engineering and MLOps, alongside a completed MBA in Compliance and Corporate Governance and a postgraduate degree in Data Science and Big Data — combining analytical foundation, governance and engineering of models in production.
Data & BI
Development of executive dashboards, analytical models, strategic indicators and decision-oriented visualizations.
Data Engineering & Platforms
Structuring data pipelines, data layers, analytical tables and environments for corporate data consolidation and consumption.
AI Engineering & MLOps
Building AI agents and pipelines, integrating local LLMs, RAG, experiment tracking and model operationalization with a focus on reliability and governance.
ETL & Automation
Automation of data collection, integrations, transformations, recurring routines and operational processes focused on efficiency.
Databases & Querying
Development of queries, procedures, support tables, validations and structures to feed reports and analytics.
Web, Product & Operations
Experience with web solutions, digital products, scraping, page structure, operational flows and user experience improvement.
Governance, Business & Compliance
Work connecting technical execution with organizational structure, governance, risk, compliance and decision support.
Cloud, Versioning & Deployment
Experience with hosting environments, server routines, version control and publishing technical and analytical projects.
Applied contexts
More than isolated tools, my focus is on applying technology and analytics to real business goals and challenges.