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.
Back to PortfolioOver 25 years of experience in technology with a growing focus on AI and Machine Learning applications
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 been fortunate to witness and contribute 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 and operations.
As an AI practitioner with both academic and industry experience, I bring a unique perspective that bridges theoretical understanding with practical implementation, always focusing on delivering measurable value and preparing organizations for an AI-driven future.
Specialized knowledge and hands-on experience across the AI and ML spectrum
Extensive experience integrating and fine-tuning large language models (LLMs) for business applications. Proficient in working with models like GPT, BERT, and their derivatives to create intelligent, context-aware solutions that enhance user experiences and operational efficiency.
Advanced capabilities in natural language understanding, generation, and processing. Developed systems for sentiment analysis, document classification, text summarization, chatbots, and multilingual applications that bridge the gap between human communication and computational understanding.
Strong background in developing predictive models that forecast trends, identify patterns, and provide actionable insights. Experience with time series analysis, regression models, and ensemble methods optimized for various business contexts, from finance to customer behavior.
Expertise in designing robust, scalable architectures for AI applications in AWS. Skilled in creating efficient data pipelines, optimizing model deployment, ensuring appropriate infrastructure, and integrating AI capabilities into existing enterprise systems.
Specialized in developing sophisticated conversational interfaces and chatbots that understand context, maintain conversation flow, and deliver value through natural interactions. Experience with both rule-based systems and advanced neural network approaches.
Designed and implemented recommendation engines using collaborative filtering, content-based filtering, and hybrid approaches. Created systems that significantly improved user engagement for companies like Lionsgate and Newsela through personalized content discovery.
Innovative AI solutions that delivered measurable business impact
Continuous learning in the rapidly evolving field of artificial intelligence
Columbia University / Emeritus
Comprehensive program covering machine learning algorithms, neural networks, deep learning, and practical AI applications. Completed capstone project on predictive analytics for financial markets.
COPPE/UFRJ
Doctoral research focused on advanced systems architecture and computational intelligence, exploring early applications of machine learning in service-oriented architectures.
Databricks
Advanced course covering the inner workings of Large Language Models (LLM), starting from the basics of the transformer block and the attention mechanism, to the latest advances in multi-modal LLMs.
Datacamp
Course covering the fundamentals of unsupervised learning and implement the essential algorithms using scikit‑learn and SciPy.
Contributing to the AI knowledge base through research and thought leadership
Under development, IGI Global, 2025
Upcoming book exploring the 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 data sources.
Coming Soon