About Me

I am a software engineer specializing in deploying and scaling machine learning models in high-volume environments. I work closely with data scientists to ensure models receive accurate, reliable data and operate efficiently at scale. My expertise lies in handling large-scale data pipelines (terabytes per month) and high-throughput systems (10K+ requests per second), optimizing performance and reliability at every iteration.

I have extensive experience across various machine learning fields, including time-series forecasting, anomaly detection, NLP, and reinforcement learning. As a former data scientist, I developed credit scoring models, medical risk prediction systems, and internal frameworks to enhance data science productivity. I also lead over five teams in building high-quality machine learning systems, mentoring engineers, and driving strategic technical decisions.

I hold a Master's degree in Computer Science from the Federal University of Minas Gerais (UFMG), with a focus on Deep Learning, Information Retrieval, and Recommender Systems. I also spent a year studying at Roma Tre University in Italy..

My professional goal is to serve as both a technical and personal mentor, guiding colleagues and newcomers in the field while creating impactful AI-driven solutions.