• Individually developed an anomaly detection system for logs produced from Workday’s regression testing platform using LSTM Neural Networks implemented in Keras and TensorFlow.

• Constructed network architecture based on proposal in recent research paper and worked with senior engineers to identify relevant features for training data.

• Project planned as the first machine learning feature of the platform.

• GDPR Compliance Enhancement: Extended Workday’s sensitive data purging capability in response to increasing privacy concern from European clients. Spearheaded the design and development of Workday’s schedulable data purging feature. Implemented using Workday’s

proprietary language XpressO.

• Legacy Feature Performance Enhancement: Improved performance to Workday’s legacy Custom WID lookup system while enabling encryption key rotation to the Custom WID table. Implemented using Java and MySQL.

• Enterprise Software Development: Familiar with standard development practices such as Agile and code review. Fluent in tools such as Bitbucket, Jira, Confluence, and Crucible.