I contributed to the design and implementation of an IoT (Internet of Things) solution that collected various gas-related variables in real-time, such as temperature, pressure, and flow rate, generating large volumes of data every minute. This data was used to train Deep Learning models for anomaly detection, which were integrated into a Monitoring and Alerting Dashboard. The entire project was built on Google Cloud Platform (GCP), utilizing services like Pub/Sub for IoT messaging, BigQuery for raw streaming data storage, Apache Beam for data transformation, App Engine for the web application, and StackDriver for alerting logic.
