Arthur Gaia
Verified Expert in Engineering
Python Developer
Sorocaba - State of São Paulo, Brazil
Toptal member since February 19, 2026
Arthur is a data scientist and machine learning (ML) engineer specializing in production ML, MLOps, and cloud solutions. He builds scalable ML pipelines, back-end APIs, and automated model lifecycles using Databricks, MLflow, Docker, Kubernetes, and AWS/Azure. Arthur has developed a forecasting system with 75-85% monthly accuracy supporting sales and operations planning (S&OP).
Portfolio
Experience
- Python - 5 years
- Machine Learning - 4 years
- PyTorch - 4 years
- TensorFlow - 4 years
- Docker - 3 years
- AWS IoT - 3 years
- Machine Learning Operations (MLOps) - 3 years
- Databricks - 2 years
Preferred Environment
AWS IoT, Azure, Docker, Kubernetes, Apache Kafka, Git, Jenkins, Microsoft Power BI, Scrum
The most amazing...
...thing I’ve built is a forecasting system that supports the S&OP process with 75-85% monthly accuracy.
Work Experience
Data Scientist
Grupo Petrópolis
- Developed and deployed machine learning (ML) models using TensorFlow, PyTorch, scikit-learn, Keras, XGBoost, and Hugging Face to solve diverse business challenges.
- Designed and automated the model lifecycle with MLflow for versioning, metric monitoring, experiment tracking, and automated deployment.
- Built a forecasting system capturing demand at SKU, resale type, and distribution center levels that supports the sales and operations planning (S&OP) process with 75-85% monthly accuracy.
- Implemented scalable data processing and pipelines on Databricks and cloud environments (AWS, Azure) and integrated production workflows with Kubernetes, Docker, and Kafka.
Java Developer
Autbank
- Developed Java solutions with Spring Boot and integrated systems using SQL Server, Maven, SVN, Tomcat, and Jenkins for corporate applications.
- Implemented SOAP and REST Web Services focused on performance and reliability, and participated in banking-sector projects using Scrum.
- Contributed to front-end development using JavaScript, TypeScript, CSS, HTML, and React to enable responsive and intuitive interfaces.
Data Science Intern
Huawei Technologies Co.
- Supported the development of methods and controls for project implementation and monitored overall project controls.
- Mapped and restructured processes, monitored performance indicators (KPIs), and supported team alignment to targets.
- Assisted with data analysis and creation of management reports and interacted with clients and stakeholders to align goals.
Experience
Generative AI Synthetic Data Platform
• Integrated models into production using Docker and Kubernetes, ensuring scalable deployment and automation of training and monitoring workflows.
Education
Master's Degree in Computer Science
Federal University of São Carlos - Sao Carlos, Brazil
Bachelor's Degree in Information Systems
Fatec Sorocaba - Brazil
Bachelor's Degree in Mechanical Engineering
Facens - Sorocaba, Brazil
Skills
Libraries/APIs
TensorFlow, PyTorch, Scikit-learn, Keras, XGBoost, Node.js, NumPy, Pandas, Matplotlib, React, LSTM
Tools
Seaborn, Plotly, Microsoft Power BI, Apache Maven, Subversion (SVN), Apache Tomcat, Jenkins, Git
Languages
Python, SQL, Go, Java, JavaScript, TypeScript, CSS, HTML, C++
Platforms
Databricks, AWS IoT, Docker, Azure, Kubernetes, Apache Kafka
Frameworks
Django, Flask, Spring Boot
Paradigms
REST, Scrum, ETL
Other
Machine Learning Operations (MLOps), Machine Learning, Hugging Face, MLflow, FastAPI, SOAP, Data Analysis, Process Mapping, Supervised Learning, Unsupervised Learning, Neural Networks, Regression, Classification, Gradient Descent, Artificial Intelligence (AI), GRU, Natural Language Processing (NLP), Sentiment Analysis, Machine Translation, Transfer Learning, Data Augmentation, Time Series, Computer Vision, Data Modeling, DAX, Mechanical Engineering, Information Systems, Computer Science
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