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 WorkMy journey
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.
Areas of expertise
Hands-on experience across the full AI and ML spectrum — from theory to production.
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.
Advanced NLP for sentiment analysis, document classification, text summarization, and multilingual applications. Bridging human communication and computational understanding in production systems.
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.
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.
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.
Designed and implemented recommendation engines using collaborative filtering, content-based filtering, and hybrid approaches. Significantly improved user engagement for Lionsgate and Newsela.
Featured work
Production AI systems that delivered measurable business impact.
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.
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.
High-performance APIs powering content recommendation for Lionsgate's streaming platforms. Analyzes viewing patterns and content metadata to deliver personalized recommendations at scale.
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.
Computer vision ML system observing physical Kanban boards via video camera. Automatically identifies and tracks task movements across workflow stages, digitizing physical project management.
AI platform leveraging data mining and NLP to automatically generate legal documents from bidding notices and judicial processes — reducing days of work to minutes.
Conversational AI chatbot integrated with the REGIN platform that streamlines company registration. Guides users through complex procedures in natural language.
Microservices for Newsela's content recommendation engine using ML models for content similarity and clusterization, improving educational content discovery for students and teachers.
Continuous learning
Staying at the forefront of the rapidly evolving AI landscape.
Columbia University / Emeritus
Comprehensive program covering machine learning algorithms, neural networks, deep learning, and practical AI applications. Capstone project on predictive analytics for financial markets.
COPPE / UFRJ
Doctoral research 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 LLMs — from the basics of the transformer block and attention mechanism to the latest advances in multi-modal LLMs.
Datacamp
Fundamentals of unsupervised learning and implementation of essential algorithms using scikit-learn and SciPy, covering clustering, dimensionality reduction, and anomaly detection.
Research & thought leadership
Contributing to the AI knowledge base through research and written work.
IGI Global, 2025
Upcoming book 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.
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.
Let's build something
Available for strategic consulting, AI/ML architecture, LLM integration, and technical leadership engagements worldwide.