Jeremy Ronquillo

Software Engineer Specialist – AI Training

DataAnnotation • Remote • Jun 2025 – Present

• Design rigorous Python coding challenges that probe algorithmic reasoning, complexity analysis, and data structure state tracking for AI evaluation.
• Build granular Likert-style rubrics and Python unittest suites to measure AI performance across diverse prompt responses.
• Review, refine, and rate AI-generated code and peer submissions to ensure production-ready reliability and scalability.

Cloud Software Engineer

Intel Corporation • Santa Clara, CA • Apr 2022 – Apr 2023

• Built Jenkins automation pipelines and GitHub templates that launched CI/CD for the Open Edge Platform and doubled team velocity.
• Expanded automated testing with Cobertura coverage enforcement and new unit tests, boosting coverage across 5G core repos by 80%.
• Scaled pipelines with AWS EC2 and local hardware to parallelize builds, reducing end-to-end runtime by 50%.

Software QA Automation Engineer

Ananki • Menlo Park, CA • Jan 2020 – Apr 2022

• Created Python-driven uptime, latency, and throughput monitors for Aether, raising platform availability to 99% and slashing RTT latency.
• Engineered regression, scale, API, and GUI automated tests using NG40, Postman, and Selenium for comprehensive QA coverage.
• Implemented Jenkins-based CI/CD flows with license validation, dependency scanning, and Docker builds to improve test reliability by 80%.

QA Automation Intern

Open Networking Foundation • Menlo Park, CA • Jun 2017 – May 2018, Jun 2019 – Sep 2019

• Developed functional, performance, and scale system tests in Python and Groovy to validate the ONOS SDN controller.
• Rebuilt legacy Jenkins jobs into maintainable pipelines, increasing system testing efficiency and readability.
• Authored Confluence documentation detailing test architecture and release trends, tripling QA documentation coverage.