Oscar Caraballo

Architected modular Python and pytest automation using object-oriented design and the Command Pattern, standardizing test setup, execution, health checks, retry behavior, and reporting across a five-engineer team. Designed Jenkins and Groovy CI/CD integration with deterministic execution, meaningful exit codes, critical-failure gates, and Kubernetes readiness checks to improve test reliability and

Built and extended Python automated tests for business and technical use cases, adding greenfield capabilities while improving the maintainability of existing automation. Partnered with engineering, product, and project leaders to translate requirements and quality risks into testable acceptance criteria early in the Agile SDLC.

Developed an end-to-end Python automation framework with engineering, product, and data-science teams for AI SaaS products; program results reported 60% higher reliability and 70% less manual testing. Automated daily AI demonstrations and built positive, negative, failure, regression, and A/B-test scenarios to evaluate model behavior, data quality, and product risk.

Designed and maintained a Python and Selenium Page Object Model regression framework supporting web functional, integration, and end-to-end testing; program results reported an 85% improvement in software reliability. Led quality practices for automated coverage, test-case design, test-code and script reviews, and reusable framework development across teams; program results reported a 45% increase

Implemented Python REST API automation using a reusable endpoint-object architecture, improving framework scalability, interface validation, test coverage, and release-cycle efficiency.

B.S. in Physics and Mathematics from the Central University of Venezuela.

Graduate coursework in Artificial Intelligence at the University of Colorado Boulder.

Completed the Designing and Building AI Products and Services program at MIT Professional Education.

Completed the Quantum Computing Algorithms for Cybersecurity Chemistry and Optimization program at MIT Professional Education.

Completed the Data Science Immersive program at General Assembly.

Completed the Full Stack Software Development MERN Stack coursework at MIT Professional Education.