Created Python and JavaScript automation tools that improved team productivity by streamlining engineering teams' reporting procedures, cutting down on manual labor, and speeding up Jira tracking for more than 200 tickets.
Using Docker and Podman, we designed and implemented modular pipeline components across global servers, improving deployment scalability, dependability, and consistency across environments.
Ensured high-quality deliverables by actively participating in peer code reviews, contributing production-ready code, and supporting thorough testing cycles within Agile sprint workflows.
Worked in cross-functional teams to evaluate challenging engineering issues, suggest fixes, and put them into action to enhance system dependability and performance.
Internal tools, procedures, and best practices were documented to facilitate the sharing of team knowledge and shorten the time it takes for new engineers to be onboarded.
Reduced repetitive tasks and the implementation of automation scripts allowed the team to concentrate on higher-priority development work by optimizing codebases.
Contributing to quicker and more dependable software releases, I helped integrate continuous integration/continuous deployment (CI/CD) pipelines.
High School Intern
Lockheed Martin
06.2021 - 08.2023
Using HTML, CSS, and JavaScript, a web dashboard was created to centralize project metrics and provide engineers with real-time access to project status.
Assisted with data analysis tasks and contributed to presentations for project reviews.
Education
B.S. - Aerospace Engineering
University of Colorado Boulder
Boulder, CO
05-2027
Skills
Programming languages: Python, C, JavaScript
Development environment setup in VSCode
Concepts: RPA Automation, Data Pipelines, Agile Development, Software Testing