I'm a machine learning engineer from São Paulo - Brazil, currently working as a Senior ML Engineer. I have developed Machine Learning Platforms, Generative AI solutions, autoML applications, machine learning algorithms research, cloud architecture, backend development and stakeholder communication.

• 🔭 I’m currently working with:

  • Machine Learning R&D
  • Generative AI applications
  • Leading teams for solving ML/data related problems
  • Time series forecasting
  • Implementing SOTA models paper to production
  • Designing and implementing cloud applications with Kubernetes
  • Developing new ML models and pipelines
  • Model optimization
  • Data pipelines
  • ML applications on Kubernetes with native k8s, Argo Workflows and Katib
  • Writing and refactoring code to be production ready in both Python:snake: and R to run on Google Cloud Platform
  • Training and optimizing deep learning models on Microsoft Azure and AWS

• 🎨 Some personal projects include:

  • Image classification tasks (Repo | Deployed Model)
  • Customer Segmentation and Prediction - 15º place at the respective Kaggle competition (Repo | Report)
  • 🚧 Comprehensive implementation of the Grokking Deep Learning book by Andrew Trask (Repo)
  • Deploying a PyTorch model in AWS using SageMaker (Repo)

Feel free to message me at LinkedIn

• ⚡ Fun fact: I'm a Master of Science in Structural Engineering, having my research based around modelling wind loads using Computational Fluid Dynamics, so I guess I can answer regarding best practices using Finite Elements Analysis and Finite Volumes as well.