Profile Summary
MLOps Engineer with over 4 years of experience in building scalable and automated ML systems. Proficient in integrating machine learning with software engineering to design and implement cloud infrastructure and data pipelines. Skilled in automating CI/CD pipelines and data workflows, as well as developing unit and integration tests in containerized environments. Committed to implementing coding standards and versioning for robust deployments.
Work Experience
Neon Pagamentos
Machine Learning Ops Engineer
- Jun, 2022 - Present
- Brazil
- Co-founded the first dedicated MLOps team within the Credit division, pioneering the operationalization of machine learning models within this business unit.
- Collaborated with data scientists to implement software engineering best practices, modularizing code for high scalability and maintainability, which reduced new team member onboarding time by 60%.
- Automated testing, code analysis, and ensured quality with a robust CI pipeline using GitHub Action, resulting in a 40% increase in test coverage and faster bug identification and correction.
- Configured and orchestrated ML workflows using Apache Airflow, achieving a 50% reduction in deployment time, freeing up resources for other activities and enabling us to run models up to two times more frequently per week.
- Built infrastructure on AWS with Terraform, managing Lambda, EC2, S3, API Gateway, security, and Session Manager.
Skills
PythonAWSAzure PipelinesGoogle CloudSQLBashFlaskKerasScikit-LearnTensorFlowMLOpsDockerGitTerraformFastAPI KubernetesPySparkApache Airflow
Industries
Financial Services
Boa Vista SCPC
Machine Learning Ops Engineer
- Mar, 2021 - Jun, 2022
- Brazil
- Optimized data flows, tools, and environments for efficient ML experimentation and development
- Identified and resolved bottlenecks, improving pipeline performance by 20%
- Implemented CI pipelines (GitLab CI, BitBucket Pipelines) for automated testing and code analysis
- Established DVC for robust version control, ensuring reproducibility and team collaboration
- Created a template with pre-configured Python packages, environment variables, and unit tests, reducing boilerplate code and ensuring consistent project structure across the team
Skills
PythonBitbucketGitLab
Industries
Financial Services
GAVB Consulting
Data Scientist | ML Engineer
- Jun, 2020 - Mar, 2021
- Brazil
- Optimized production and inventory levels for an agribusiness company by developing a demand forecasting model.
- Improved accuracy by 30% through cleaning and preprocessing data, performing EDA, training, and evaluating machine learning models.
Skills
Data AnalysisMachine Learning
Industries
Agriculture
Education
Bachelor's degree
- Mechanical Engineering
- University Center of FEI, Brazil
- 2017
Master's degree
- Computer Science
- Federal University of ABC ‑ UFABC, Brazil
- 2022
All Skills
Languages
- Python | 3 yrs
- Bash | 2 yrs
Cloud
- AWS | 2 yrs
- AWS Managed Services | 1 yr
- Azure Pipelines | 2 yrs
- Google Cloud | 2 yrs
- Table Storage | 1 yr
- Kubernetes | 2 yrs
AI
- Data Analysis | 1 yr
- Machine Learning | 1 yr
- ML.NET | 2 yrs
- Large Language Models (LLMs) | 1 yr
Databases
- SQL | 2 yrs
Libraries
- Flask | 2 yrs
- Keras | 2 yrs
- Scikit-Learn | 2 yrs
- TensorFlow | 2 yrs
- PySpark | 2 yrs
Paradigms
- MLOps | 2 yrs
- Real-time Data Processing | 1 yr
Tools
- Bitbucket | 1 yr
- Docker | 2 yrs
- Git | 2 yrs
- GitLab | 1 yr
- Terraform | 2 yrs
- Apache Airflow | 2 yrs
Frameworks
- FastAPI | 2 yrs
Others
- Market Forecasting | 1 yr