Most used programming language in my professional career. Capable of writing scalable, testable, and maintainable software using it.

Capable of designing databases and creating software that consumes them for machine learning training and inference processes.

Proficient with git-based development. Used mostly Github, but have experience working with GitLab, Forgejo and BitBucket.

Most used machine learning framework in my professional career. Proficient in defining, training, evaluating and exporting efficient deep learning architectures.

Experienced with the usage of numpy, scipy, pandas, scikit-learn, and related tools, to build data processing pipelines and efficient machine learning models.

Experience in using MLflow to manage, track and visualize machine learning experiments, with the purpose of serving the optimal model as part of a software solution.

Capable of implementing complete machine learning pipelines using the tensorflow ecosystem.

Proficient in the use of AWS SageMaker to train and deploy machine learning models as part of a complete infrastructure.

Using as primary operating system for several years. Capable of writing bash/shell scripts, and simple administration tasks.

Capable of deploying software as docker containers. Experienced in writing Docker images for MLOps applications.

Capable of deploying and managing applications on Kubernetes. Experienced in writing Kubernetes configurations for MLOps applications.

Experienced in the use of LaTeX to write comprehensible and reproducible experimentation results in formal language.