I've automated competitive-intelligence data workflows at Ads Marketing e Desenvolvimento, turning unstructured external data into analytical datasets with OpenAI API, Gemini API, prompt engineering, Python, and SQL. My work improved insight extraction accuracy by 35% and saved approximately 10 hours of manual analysis each week through end-to-end ETL pipelines.
At Raddar Digital, I improved e-commerce database performance and integrity by redesigning relational structures, indexing queries, and normalizing tables, reducing complex query response times by 12%. I also designed REST APIs in Laravel and PHP and supported production stability through Linux server administration and deployment troubleshooting.
I'm building a modular deep learning framework from scratch in Python and NumPy, implementing vectorized operations, data loading, feature scaling, regression, loss and activation functions, backpropagation, and optimizers including SGD, Momentum, RMSprop, and Adam.
I bring hands-on experience across AI, data engineering, backend development, SQL, and agile delivery, with professional English proficiency.
