Rio de Janeiro, Rio de Janeiro, Brazil
Computer engineer graduated from UVA in Brazil, I've been working as data scientist even before getting my degree. I've worked on several different projects on recomendations, clusterizations and other types of standard supervised and unsupervised learned models. I've also acted on optimization models for the financial areas, mainly through Python packages. In early 2023, I've started and delivered projects regarding Generative AI, how to implement in a working enviourment as safe as can be using APIs and microsservices, with a special focus on following LGPD guidelines. My experience in different areas made me also learn about Data Engineering, specially dealing with cloud-based clients in order to work with AWS and Google Cloud Services, using SQL or SQL-like languages or connectors. I've also worked on data pipelines communicating with Apache Airflow and RabbitMQ. When exploring deployment of ML Models, I've explored both cloud-based solutions with AWS API Gateways, Lambdas and SNS, and microsservice based applications like FastAPI and Flask. As a part of mapping out dataflows, data structures and creating ML monitoring dashboards, I've used extensively Google Looker Studio, PowerBI Dax and Tableau, as well as python libraries such as MatPlotlib, Plotly and Seaborn.
Machine Learning Engineer | Technology, Design, and Innovation Consulting As a Machine Learning Engineer, I develop and implement AI-driven solutions across various industries, combining technology, design, and innovation to create real business impact. 💡 Key Responsibilities: ✅ Design, train, and optimize Machine Learning and Deep Learning models. ✅ Structure and process large datasets to power intelligent models. ✅ Deploy and maintain MLOps pipelines for scalability and reliability. ✅ Explore new technologies and frameworks to drive innovation. ✅ Collaborate with cross-functional teams to develop user-centric products and services. 🚀 Passionate about turning data into actionable insights and applied intelligence!
As a machine learning engineer, I work closely with a large agricultural company in order to create, mantain and update the entire datapipeline. From data ingestions from the data warehouse using Airflow to flask-based applications that run the fine tuning and machine learning models that generate the results required.
Working closely with different companies from several different sectors to help develop AI machine learning models that optmize performance, find target audiences and automate processes.
Worked as a data scientist closely with the BMB team to develop AI tools that assist the credit decision making process