Jamie Ortiz
Software Engineer
Omaha, NE 路 (402) 555-0148 路 jamie.ortiz@example.com 路 github.com/example
Summary
Software engineer with almost two years of full stack software development in Java, Python and JavaScript, after a computer science degree and a software engineering internship. Builds React front end features and REST APIs on the AWS cloud platform, tests every change across the software development life cycle, and works in Agile Scrum teams with DevOps. Recently shipping features that use artificial intelligence and machine learning.
Education
B.S. in Computer Science, minor in Computer Engineering, Great Plains State University, 2024
Skills
- Programming languages
- Java, Python, JavaScript, TypeScript, C++, SQL
- Frameworks and tools
- React, Node.js, Docker, Git
- Practices
- Object oriented programming, Data structures and algorithms, Unit testing, Debugging, Code review, Agile (Scrum)
Experience
Software Engineer I, Prairie Signal Health
Omaha, NE 路 2025 to present
- Developed React, TypeScript and HTML UI screens for a clinic scheduling app used by 90 clinics, cutting booking time by 35%.
- Engineered Java REST API endpoints backed by PostgreSQL, with unit testing that keeps coverage above 85%.
- Helped fix production bugs through debugging on Linux, and joined weekly code review for the team.
- Launched test automation with the DevOps team that runs nightly in GitHub Actions and Docker, reducing manual QA before each release from 8 hours to 2.
- Prototyped an artificial intelligence feature on AWS that drafts appointment reminders, raising confirmations by 12% in a pilot tracked through product analytics.
Software Engineering Intern, Keystone Mutual
Lincoln, NE 路 Summer 2024
- Helped build a Python tool that reconciles daily billing reports with MySQL queries.
- Added version control practices and 60 automated tests to a Python billing service, following the team code standards.
- Documented the team REST APIs for new developers.
Capstone Project, Task Scheduler, Great Plains State University
Omaha, NE 路 2024
- Worked on a C++ task scheduler that runs jobs across Linux nodes, with a React front end and a Node.js API.
- Applied data structures, algorithms and query optimization to cut scheduling time by 60% against the baseline.
- Trained a machine learning model in Python that predicts job run time.