I'm excited to build a career in ML and Data Engineering, integrating my M.Eng. in AI at Duke with a decade of software experience. I've learned how to architect systems and find the best technology depending on the application. By having this balance, I ensure things remain simple, yet purpose-built and effective given the use case.

This mindset translates to data engineering for me. Having a deep understanding of the data needed and analyzing data that already exists is paramount to success. My strong foundation and attention to detail leads to effective model building, critical analysis throughout the entire process, and successful deployments.