CV

Senior Data & AI Software Engineer (Applied AI)

LIA – Laboratório de Inteligência Artificial

• Public-sector innovation project that automates judicial processes at the State Attorney’s Office of Mato Grosso do Sul (PGE-MS), with a focus on healthcare-related cases.
• Design of solution and data architectures for production AI systems: document analysis, legal text automation and expert-calculation support.
• NLP and machine learning over large volumes of legal documents; AI-driven pipelines that automate repetitive workflows.
• Integration with existing government data systems, with attention to accuracy, auditability and governance.

Data Science and AI Tech Lead

Plaenge Group

• Built and led the data team, from 3 to 12 people across data engineering, analytics engineering and applied AI; set technical standards and mentored engineers coming from economics and business analytics.
• Enterprise AI platform (LLM hub): designed a single internal API for LLM access, with authentication, auditing and guardrails by default, plus shared endpoints for embeddings and RAG. It serves a GenAI sales-development chat that handles 200–300 conversations a day and an internal expert-search tool.
• BIM analytics platform: modeled IFC building models as graphs and loaded them into a Bronze/Silver/Gold lakehouse covering 70+ active and 50+ completed projects (700+ models), giving the BIM team cross-project indicators of model quality and clash history. Proofs of concept: gnn_bim, graphrag_bim.
• CRM to lakehouse sync: incremental synchronization of Microsoft Dynamics (Dataverse) data into Delta tables, which moved analytics out of the CRM and cut Dataverse storage from about 750 GB to 200 GB.
• Schedule: a declarative ingestion framework on Spark and Delta Lake (Azure Synapse) that let junior engineers add sources by configuration; it ran about 20,000 ingestion jobs a month at peak.
• Led the migration of QlikView solutions and on-premises Power BI reports to a cloud lakehouse with Delta tables and a governed semantic layer in Power BI workspaces.
• Lakehouse on Azure Data Lake and Delta Lake, with Azure Synapse, Data Factory, Apache Spark, Airflow and DuckDB. Architecture work contributed to an estimated 25–35% reduction in analytics processing costs.

Founder and Data Architect

Bov BI – Business Intelligence for Agribusiness

• Founded and ran an analytics consultancy for agribusiness, from requirements with business leaders to deployment.
• Agribusiness analytics platform: BI platform for a cattle producers association with 600+ producers and about 1,200 farms, with drill-down from executive KPIs to individual producers; it replaced manual reporting that took weeks and gave auditable metrics for negotiations with industry partners.
• Data warehouse design, ETL, OLAP cubes, reports and dashboards (Pentaho).
• ERP, web and mobile development (Python/Django, Node.js APIs, Ionic).

Senior BI Analyst and Business Intelligence Instructor

IT4biz IT Solutions

• Instructor of the Pentaho suite; development of OLAP cubes, dashboards and ETL processes.
• Principal committer of open-source Pentaho community extensions: Kettle Web Integrator (web integration layer for Pentaho Data Integration), Saiku Chart Plus (extra charts for Saiku Analytics) and Pentaho CE Audit (auditing and monitoring for Pentaho Community Edition).

Substitute Lecturer

Federal University of Mato Grosso do Sul (UFMS)

• Introduction to Digital Systems; Foundations of Object-Oriented Programming; Topics in Information Systems; Software Analysis and Design; Algorithms and Programming.

Undergraduate Researcher and Project Assistant

Federal University of Mato Grosso do Sul (UFMS)

• Data webhouse that consolidated national INEP school census data and state education systems, with drill-down from state to student level and indicators such as age–grade distortion and IDEB inputs.
• Research in data warehousing, Linked Data and web development; analyst for UFMS distance-education and institutional-evaluation systems.

PhD (in progress)

Federal University of Mato Grosso do Sul (UFMS)

Computer Science

• Research: text anonymization under the inference capabilities of large language models.
• Advisor: Prof. Edson Takashi Matsubara. Co-advisor: Prof. Jonathan de Andrade Silva.

Professional MSc

Federal University of Mato Grosso do Sul (UFMS)

Applied Computing

• Thesis: Uma Abordagem de Análises OLAP e de Mineração de Dados para Suporte à Tomada de Decisão no Setor da Pecuária de Corte do Brasil.
• Advisor: Prof. Renato Porfirio Ishii. Co-advisor: Rodrigo da Costa Gomes.

BSc

Federal University of Mato Grosso do Sul (UFMS), Coxim campus

Information Systems

• Final project: Uma Estratégia para Publicação dos Dados da Base do CEB-INEP/MEC no Padrão Linked Open Data.
• Advisor: Prof. Karen Kiomi Nakazato.

Outstanding Student of the 2011 class, BSc in Information Systems (UFMS/CPCX)

Brazilian Computer Society (SBC)

Motion of Applause

Campus Council, UFMS Coxim campus

2nd place in the presentation of accepted papers, XXVII ENECOMP

National Congress of Computing Students (ENECOMP)