Summary
Lívia Da Silva is a Machine Learning Engineer with nine years of experience building data-intensive systems and production ML pipelines at Globo, combining hands-on software development with cloud-native engineering on Google Cloud. She has designed feature-serving layers in BigQuery, migrated and productionized Autoencoder workflows with Vertex AI Pipelines, and refactored large Spark/Scala codebases for observability and performance. Comfortable across Python, Scala, SQL and infrastructure tooling (Docker, Terraform), she also contributed to recommendation and advertising systems and helped architect on-prem to GCP migrations. Currently pursuing a Master's focused on Green AI and extreme-precipitation nowcasting, she brings a research-driven mindset to practical ML problems and a track record of turning experimental models into reliable, monitored services.
9 years of coding experience
7 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Universidade Federal Fluminense
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Universidade Federal Rural do Rio de Janeiro
Portuguese, English