Strong expertise in Python, focusing on the design and development of intelligent AI agents, LLM orchestration, and adaptive reasoning systems — integrating data preprocessing, feature engineering, and scalable model pipelines.
Experience building high-performance data pipelines for large-scale analytics and training workloads, emphasizing distributed processing, optimization, and scalability across modern cloud environments.
Proficient in delivering full-cycle AI projects — from ideation and experimentation to deployment in production using modern web and cloud frameworks. Skilled in integrating APIs, orchestration layers, and MLOps tools for reliable delivery of intelligent systems.
Leading multidisciplinary teams focused on Artificial Intelligence initiatives, aligning strategy, architecture, and delivery. Experienced in mentoring engineers, structuring AI workflows, and ensuring high-impact, production-ready outcomes.
This project provides an end-to-end solution for automated web data extraction, cloud storage, and price prediction using Machine Learning. Designed as a regression problem, it includes a dedicated page for property price forecasting based on key features and attributes.
This Data Science project addresses a classification problem, leveraging Machine Learning to predict diabetes risk with high accuracy. It features a dashboard for data exploration and analyses, along with a dedicated page for prediction outcomes.
Designed to solve a clustering problem, this project analyzes crime patterns in São Paulo using geolocation data. It features a dashboard for exploring clusters of robbery occurrences, providing insights into spatial distribution and trends.