I'm a Data Scientist with a passion for building intelligent solutions using Generative AI. My expertise lies in developing advanced chatbots, Retrieval-Augmented Generation (RAG) models, and AI-driven support agents. I'm a 2x AWS Black Belt in Generative AI and Machine Learning, and I'm currently driving AI innovation at e-Core as a member of the Artificial Intelligence Committee.
- Data Scientist at e-Core, driving strategic AI initiatives and developing production-ready AI solutions.
- 2x AWS Black Belt in Generative AI and Machine Learning.
- AWS Certified AI Practitioner & AWS Certified Developer - Associate.
- Strong background in Generative AI, RAG, Chatbots, Amazon Bedrock, LangChain, LlamaIndex, Amazon SageMaker, and MLOps.
- Experience with Infrastructure as Code (IaC) using Terraform, Serverless Framework and AWS CDK.
- Proficient in Python, SQL, and a wide range of AWS services (Athena, Glue, RDS, Lambda, EC2, S3).
- Former Data Engineer with experience in building scalable data pipelines and data lakes.
- Electrical Engineering background from the Federal University of Viçosa, with a specialization in robotics and convolutional neural networks.
- Research experience in facial sentiment analysis using PyTorch and TensorFlow.
- Developed AuRoRa Chat, a Generative AI chatbot for answering questions about research papers.
- Generative AI: Amazon Bedrock, LangChain, LlamaIndex, RAG, Prompt Engineering
- Machine Learning: Amazon SageMaker, MLOps, PyTorch, TensorFlow, CNNs
- Cloud Computing: AWS (Athena, Glue, RDS, Lambda, EC2, S3, DynamoDB, Step Functions, AppFlow)
- Infrastructure as Code: Terraform, Serverless Framework, AWS CDK
- Data Engineering: ETL, Data Lakes, Data Pipelines
- Databases: SQL, Amazon RDS, Amazon DynamoDB
- Other: Python, FastAPI, Streamlit, Git, CI/CD, Scrum, Jira, Web Scraping, Selenium
- AWS Certified AI Practitioner
- AWS Certified AI Practitioner Early Adopter
- AWS Latam Black Belt - Generative AI and ML (2x)
- AWS Certified Developer - Associate
- AWS Certified Cloud Practitioner
- e-Core (Data Scientist):
- Leading the development of AI strategies as a member of the Artificial Intelligence Committee.
- Building and deploying Generative AI applications, including customer support agents and text-to-SQL tools.
- Enhancing ML engineering capabilities with Amazon SageMaker and MLOps.
- e-Core (Data Engineer):
- Developed and maintained data lakes and automated data pipelines.
- Utilized AWS data services and IaC tools for scalable cloud solutions.
- NERO - Núcleo de Especialização em Robótica (Research Fellow):
- Conducted research on convolutional neural networks for facial emotion detection.
- Developed AuRoRa Chat, a chatbot for accessing research insights.
- CNPq (Technology Scholarship Recipient):
- Researched facial sentiment analysis in children for robotic interaction.
- Digital Grid (Python Developer):
- Automated energy bill data extraction and management using Python and Selenium.
