• Develop, maintain and operate multiple API servers in a variety of languages and technologies.
• Lead multiple initiative resulting in significant uptime improvements.
• Mentor and develop less senior personnel.

• Mentored 4 software engineer interns through planning and delivery of customer facing software.
• Created and maintained tests to ensure long-term software health and quality.
• Decreased a critical API response time from over 3s to under 500ms.
• Participated in cross team planning and incident response, increasing team autonomy.
• Lead large refactoring effort of detangling poorly performing, highly coupled classes to clean modular, and high performing architecture.
• Participated in Agile development and ceremonies.

• Adaptable to high operational-tempo environments: 3 overseas deployments in 4 years.
• Responsible for ensuring critical equipment operational and maintained to support an unpredictable and high-tempo operational schedule.
• Direct supervisor of 5-7 sailors during overseas deployments; responsible for safe undersea navigation and all preventative and corrective maintenance for ship's critical navigation and interior communication systems.
• Designed and taught curriculum for advanced submarine navigation which is delivered to senior submarine navigation personnel across the submarine force.
• Trained 10 personnel from initial ascension qualifications through senior qualifications. 100% advancement rate for sailors who were assigned as mentees.
• Awarded: Navy & Marine Corps Achievement Medal (8), Good Conduct Medal (2), 2018 USS San Francisco Junior Sailor of the Year.

• Strategy, Accounting, Marketing, Leadership

Coursework:

• Algorithms & Data structures, Distributed Systems, Data Science, Big Data, Machine Learning, Numerical Methods, Cryptography, DevOps, Databases.

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)

Coursework:

• Algorithms & Data structures, Foundations of Computing, Discrete Mathematics, Calculus, Philosophy.

Internships:

• Jolicloud | Paris, Fr. | Ruby on Rails, SQL, C#, Mono, Linux

• Google Summer of Code | C#, Gtk, Mono