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Artificial
Intelligence.

Harnessing the power of AI and Machine Learning to transform businesses, optimize processes, and create innovative solutions that drive meaningful impact in today's data-driven world.

Explore My AI Work

From Software Architecture
to AI Innovation.

My passion for artificial intelligence began early in my career as I recognized the transformative potential of intelligent systems. With a solid foundation in computer science and software architecture, I've witnessed and contributed to the evolution of AI from academic concepts to practical business applications.

In recent years, I've focused intensively on AI/ML advancements — particularly the revolutionary impact of Large Language Models (LLMs). My approach combines technical expertise with strategic vision, helping organizations not just implement AI solutions, but integrate them thoughtfully into their broader business strategy.

As an AI practitioner with both academic and industry experience, I bridge theoretical understanding with practical implementation — always focusing on delivering measurable value and preparing organizations for an AI-driven future.

Input Output

Specialized AI Knowledge

Hands-on experience across the full AI and ML spectrum — from theory to production.

Large Language Models

Extensive experience integrating and fine-tuning LLMs for business applications. Proficient with GPT, BERT, and derivatives to create intelligent, context-aware solutions that enhance user experiences and operational efficiency.

Natural Language Processing

Advanced NLP for sentiment analysis, document classification, text summarization, and multilingual applications. Bridging human communication and computational understanding in production systems.

Predictive Analytics

Developing predictive models that forecast trends and provide actionable insights. Experience with time series analysis, regression models, and ensemble methods for finance, EdTech, and customer behavior.

AI Systems Architecture

Designing robust, scalable AI architectures on AWS. Creating efficient data pipelines, optimizing model deployment, and integrating AI capabilities seamlessly into existing enterprise systems at scale.

Conversational AI

Developing sophisticated conversational interfaces that understand context, maintain conversation flow, and deliver value through natural interactions — from rule-based systems to advanced neural network approaches.

Recommendation Systems

Designed and implemented recommendation engines using collaborative filtering, content-based filtering, and hybrid approaches. Significantly improved user engagement for Lionsgate and Newsela.

AI Projects

Production AI systems that delivered measurable business impact.

BeyondRisk AI-6

Core engine for an AI Application Builder enabling rapid development and deployment of applications. Integrates advanced LLM APIs to streamline the application development process, significantly reducing time-to-market.

LLM Domain Specific Languages Python FastAPI AWS
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BeyondRisk AI/BI

High-performance AI solution using integrated AI agents and LLM APIs to provide business intelligence insights from cybersecurity-related data — transforming raw security data into executive-ready insights.

LLM Business Intelligence Python FastAPI AWS
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Lionsgate Recommendation Engine

High-performance APIs powering content recommendation for Lionsgate's streaming platforms. Analyzes viewing patterns and content metadata to deliver personalized recommendations at scale.

Machine Learning Python FastAPI AWS
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Enigma AI

Advanced AI for financial market analysis and prediction. ML algorithms and time series analysis identify patterns and opportunities in financial data streams, providing traders with actionable insights.

Deep Learning NLP TensorFlow Time Series
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Kanban ML

Computer vision ML system observing physical Kanban boards via video camera. Automatically identifies and tracks task movements across workflow stages, digitizing physical project management.

Computer Vision TensorFlow OpenCV Python
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Sinntesis

AI platform leveraging data mining and NLP to automatically generate legal documents from bidding notices and judicial processes — reducing days of work to minutes.

NLP Document AI Python Flask
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JUCEPA ChatBot

Conversational AI chatbot integrated with the REGIN platform that streamlines company registration. Guides users through complex procedures in natural language.

Conversational AI NLP Python Dialog Systems
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Newsela Content System

Microservices for Newsela's content recommendation engine using ML models for content similarity and clusterization, improving educational content discovery for students and teachers.

Recommendation Systems Machine Learning AWS Python
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AI Education & Training

Staying at the forefront of the rapidly evolving AI landscape.

Postgraduate Diploma in Machine Learning and Artificial Intelligence

2019 – 2020

Columbia Engineering Executive Education with Emeritus

Comprehensive program covering machine learning algorithms, neural networks, deep learning, and practical AI applications. Capstone project on predictive analytics for financial markets.

Doctor of Science — Systems and Computer Engineering

2008 – 2014

COPPE / UFRJ

Thesis Serviços de Desenvolvimento de Software: Uma Abordagem para Reutilização de Modelos Conceituais — software-development services: an approach to the reuse of conceptual models — under Professor Jano Moreira de Souza; defended March 2014.

Large Language Models: Foundation Models from the Ground Up

2023

Databricks

Advanced course covering the inner workings of LLMs — from the basics of the transformer block and attention mechanism to the latest advances in multi-modal LLMs.

Unsupervised Learning in Python

2024

Datacamp

Fundamentals of unsupervised learning and implementation of essential algorithms using scikit-learn and SciPy, covering clustering, dimensionality reduction, and anomaly detection.

Publications

Contributing to the AI knowledge base through research and written work.

Edited volume — 2026 · editor

Harnessing Large Language Models for Enhanced Business Analytics

IGI Global, 2026

Recently released volume, edited by Fabio Marzullo, exploring practical applications of large language models in business intelligence and data analytics. Covers implementation strategies, case studies, and best practices for leveraging LLMs to extract actionable insights from diverse enterprise data sources.

Conference Presentations

Academic & International Conferences

IEEE · World Congresses · Las Vegas · Berlin · Barcelona · Rome

Presented research and case studies at major international conferences. Key topics include IT governance in AI systems, model-driven development, integration of AI/ML in enterprise architectures, and the evolution of intelligent systems in government contexts.

Peer-reviewed articles — 2006–2011

Eighteen Peer-Reviewed Articles & Papers

Eighteen articles, chapters and conference papers published by Springer, IGI Global, the Association for Information Systems, IEEE-, IADIS-, INSTICC- and CSREA-organized conferences and Brazil's CONSAD public-management congress, on model-driven architecture, domain-driven development, SOA and IT governance in government.

  1. New Directions for IT Governance in the Brazilian Government (book chapter)
  2. A Case Study on Software as Service Approach to Model-Driven Development
  3. A Model-Driven Development (MDD) Approach to Change Impact Analysis
  4. A Case Study on a Student Relationship Management Approach Supported by a Knowledge Management Tool
  5. New Directions for IT Governance in the Brazilian Government (journal version)
  6. A Cost Model for Domain-Driven Development using BPM, MDA, SOA and Web Services
  7. Requirement-Based Costing with MDA
  8. A Practical MDA Approach for Autonomic Profiling and Performance Assessment
  9. An MDA Approach for Database Profiling and Performance Assessment
  10. MDA4Eclipse – An MDA Approach for Project Assessment
  11. A Domain-Driven Development Approach, using MDA, SOA and Web Services
  12. New Directions for IT Governance in the Brazilian Government
  13. A Domain-Driven Approach for Enterprise Development, using BPM, MDA, SOA and Web Services
  14. A Study Case on Domain-Driven Development, using MDA, SOA and Web Services
  15. A Domain-Driven Development Approach for Enterprise Applications, using MDA, SOA and Web Services
  16. A Competence-Based Approach to IT Governance in the Brazilian Government
  17. Governança de Tecnologia da Informação: novas direções (IT Governance: New Directions)
  18. A Qualitative Study on PATT – A Project Assessment and Tracking Tool
View the dblp bibliography

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Ready to explore AI
for your organization?

Available for strategic consulting, AI/ML architecture, LLM integration, and technical leadership engagements worldwide.