I am a multidisciplinary professional combining a STEM background in Automation & Robotics Engineering with postgraduate studies in Finance and Economics. My work sits at the intersection of artificial intelligence, quantitative analysis, and process optimization, and I enjoy solving complex problems with structured, data-driven methods.
I have hands-on experience evaluating generative AI outputs, designing prompts, and providing high-quality human feedback for model alignment. In these roles, I focus on reasoning quality, hallucination reduction, linguistic accuracy, and adherence to safety and behavioral guidelines.
I also bring practical experience in quantitative finance and data analysis, including ETL pipeline development, SQL automation, dashboarding, and statistical validation. I am comfortable working with Python, R, SQL, Power BI, and relational databases to support financial-market analysis and operational decision-making.
Earlier in my career, I worked in technical process support and process engineering, where I standardized workflows, improved documentation, and helped automate engineering tasks. These experiences strengthened my ability to translate technical complexity into clear, efficient processes.
I am bilingual in English and Portuguese, with experience in translation review and cultural localization. I value precision, adaptability, and collaboration, and I am especially motivated by roles that combine AI, analytics, finance, and technical problem solving.
I am open to opportunities where I can contribute as a subject matter expert, AI data trainer, or data analyst, particularly in environments that value analytical rigor, continuous improvement, and cross-functional work.
