Renzo Rozza

Renzo Rozza has had a varied and successful career in software engineering. In 2013, they began their career as a Software Developer at Fundación Julio Ricaldoni, where they developed Python automation scripts to edit routes of geographic information systems (GIS) and maintained a simulator and visualization tool written in C++ and .NET. In 2014, they moved to BlueBoot Business Software as a Software Engineer, developing SAPUI5 | Cordova apps for information management in SAP enterprise resource planning (ERP) systems and designing middle-ware for integrating OData REST APIs into the MS SharePoint web platform. In 2015, they completed an R&D Software Engineering Internship at U-tad. In 2016, they joined Next Limit Technologies as an R&D Software Engineer, developing a Node.js C++ Addon to expose the main features of Maxwell Render SDK and integrating Maxwell Studio with a cloud-based rendering system of Node. In 2018, they moved to Cloud.IQ as a Senior Software Engineer, developing and helping to redesign the backend platform using Node.js micro-services with Cloud Spanner database, Cloud Pub/Sub queue library and StackDriver monitoring system. Finally, in 2020, they joined Apolitical as a Staff Software Engineer and was later promoted to Senior Software Engineer, leading the re-architecture of the People API with the use of Cloud SQL database and Google Kubernetes Engine (GKE) and putting forward best practices of Node.js programming and micro-services architecture.

Renzo Rozza earned a Master's Degree in Computer Graphics and Simulations from U-tad in 2016. Prior to that, they obtained an Engineer's Degree in Computer Engineering from Universidad de la República in 2014. Rozza has also obtained a number of certifications from Coursera, including Managing Cloud Infrastructure with Terraform (2021), Migrating a Monolithic Website to Microservices on Google Kubernetes Engine (2021), Architecting with Google Kubernetes Engine: Production (2021), Sequence Models for Time Series and Natural Language Processing (2019), End-to-End Machine Learning with TensorFlow on GCP (2019), Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning (2019), Elastic Cloud Infrastructure: Containers and Services (2018), Deep Learning Specialization (2018), Sequence Models (2018), Convolutional Neural Networks (2017), Structuring Machine Learning Projects (2017), Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization (2017), Neural Networks and Deep Learning (2017), Machine Learning (2017), and Oculus Rift Developer (2015).