• Improved upon an existing machine learning data pipeline to eliminate input redundancies and decrease daily inference times by ~90% utilizing AWS SageMaker, Step Functions, Lambda, S3, and EC2. • Updated big data queries and applications to leverage Spark (SQL/Scala) for improved efficiency and scalability.

• Worked with a team of fellow Cal Poly students to improve upon an existing multi-view CNN model for building image classification. • Engaged directly with World Bank stakeholders and data collection application developers to revamp multi-view model architecture built with TensorFlow and ArcGIS.

• Assisted senior software engineers with improvements upon existing human machine interface software to provide real-time and post-hoc alarm statistics such as activation frequencies and correlations. • Partnered with one other intern in planning, development, and integration of alarm analytics microservice into existing software infrastructure utilizing .NET, MQTT, and d3.js.