Currently developing Campus Automation, a software-defined networking tool that automates the configuration and deployment of Cisco networking devices.

Served as an instructor for CS 638 (Wisconsin Emerging Scholars in Computer Science), where I led a weekly class introducing Java object-oriented programming and data structures. This course was specifically designed for underrepresented groups in computing.I additionally worked as a peer mentor for CS 544, the University of Wisconsin's Big Data Systems / Distributed Systems course. In this role, I assisted students with the theory and implementation of deploying distributed systems… Show more Served as an instructor for CS 638 (Wisconsin Emerging Scholars in Computer Science), where I led a weekly class introducing Java object-oriented programming and data structures. This course was specifically designed for underrepresented groups in computing.I additionally worked as a peer mentor for CS 544, the University of Wisconsin's Big Data Systems / Distributed Systems course. In this role, I assisted students with the theory and implementation of deploying distributed systems. The systems we covered included PyTorch, HDFS, Spark, Kafka, Cassandra, Google Cloud Platform, and more! Show less

Developed a cardholder data transformation microservice, resulting in real-time authorization decisions impacting over 100 million cardholders. Utilized Java Spring Boot, PostgreSQL, AWS Fargate, and internal CI/CD tools.Utilized data processing techniques to transform Apache Kafka messages, ensuring schema compatibility with the authorization engine’s machine learning models. Transformation service resulted in up to 24-hour savings per account update and further synchronized test data… Show more Developed a cardholder data transformation microservice, resulting in real-time authorization decisions impacting over 100 million cardholders. Utilized Java Spring Boot, PostgreSQL, AWS Fargate, and internal CI/CD tools.Utilized data processing techniques to transform Apache Kafka messages, ensuring schema compatibility with the authorization engine’s machine learning models. Transformation service resulted in up to 24-hour savings per account update and further synchronized test data between three purchase authorization applications.Implemented rigorous unit and integration testing for Kafka consumer and Postgres database components using JUnit5 and Mockito. Designed and executed acceptance tests using Cucumber, ensuring end-to-end functionality aligned with complex business logic. Show less

Collaborated with data engineering team to deprecate a legacy insurance agent management application. Developed, tested, and deployed rewrite master data management Java Spring Boot application.Executed REST API endpoint best practices in 20+ services. Debugged data models and entities to comply with relational database rules and Java Persistence API.Implemented, refactored, and tested custom exception handling for insurance agent application.Additional experience working with Java… Show more Collaborated with data engineering team to deprecate a legacy insurance agent management application. Developed, tested, and deployed rewrite master data management Java Spring Boot application.Executed REST API endpoint best practices in 20+ services. Debugged data models and entities to comply with relational database rules and Java Persistence API.Implemented, refactored, and tested custom exception handling for insurance agent application.Additional experience working with Java Spring Boot, PostgreSQL, Postman, Jira, and Splunk. Show less

Developed and maintained Java applications using agile methodologies. Additional experience working with JavaScript, Spring MVC, MySQL, Jenkins, and Git.

Worked on the data management team at the Wisconsin Registry for Alzheimer’s Prevention, one of the world’s most extensive and longest-running studies of individuals at risk for Alzheimer’s disease. Under Dr. Sterling Johnson and WRAP statisticians, used statistical tools to improve the prediction of cognitive impairment given lifestyle factors. Insured data quality using SQL, R, Python, Access, and other tools.