C#/.NET, Rust, AWS, Databricks, DBT, Scala, DevOps
January 2022 - Present
Java, Spring Boot, SQL, Vue, AI/ML, XP
Built AI-backed personalized recommendation system helping to increase LTV of Ford Credit customers.
February 2021 - September 2021
Operations, AC/DC/Digital electronics, TS/SCI, Instructor
August 2014 - May 2021
Python, C++, C, JavaScript, Linux, Bash, Jenkins, Bazaar, QA, DevOps
November 2010 - February 2013
Coursework:
Projects:
Marketing, Strategy, Finance
May 2022 - May 2024
Coursework:
Projects:
LiftRight | GitHub Swift, Rust, Matlab, iOS, 2D Graphics, HCI, CI/CD, Kubernetes, MongoDB
Repetition and set segmentation algorithm for early, online identification of weight training exercises using a single sensor, and gamified platform for guiding a user into modifying their form.
Thematic Movie Recommendation Engine | GitHub Python, Machine Learning, Scikit-learn
Movie recommendation engine based on thematic elements pulled from movie scripts. Word2Vec
and TF-IDF
models.
Trend seeking in NYC with CitiBike | GitHub Python, Apache Spark, Big Data
Leveraged GIS, Citibike, and IRS datasets to identify changing trends in New York City neighborhood tax data.
Associations:
Association for Computing Machinery | National member
ACM-W | ODU chapter vice-president (2020 - 2021)
August 2018 - May 2021