Ozkan K.

About Ozkan K.

Senior Software Development Engineer in Test (SDET) with 10+ years of experience building scalable quality engineering across web, API, data, and AI-enabled platforms. I design automation and CI/CD quality gates that increase release speed while reducing defect escapes. At Carbon, I led AI-assisted quality transformation, reducing test-creation effort by 90%+ and PR review effort by ~90% through Azure DevOps-integrated workflows. I built and maintained C# automation (SpecFlow/MSTest) and Playwright coverage, and validated LLM/RAG workflows end-to-end including document parsing, extraction, grounding, output correctness, and backend integrity across Cosmos DB and MongoDB. At Tesla, I delivered resilient UI/API automation using Selenium, REST Assured, and Postman, supported by SQL-driven data validation and risk-based coverage to improve feedback speed and release confidence. At Apple, I strengthened automation stability and quality guardrails across Agile releases, focusing on maintainability, defect escape prevention, and reliable validation at scale. Core strengths: Test Automation Architecture | API-First Quality Engineering | AI/LLM & RAG Validation | Azure DevOps CI/CD | Microservices E2E Testing | Data Integrity Testing Open to Senior SDET / Senior QA Automation Engineer opportunities where I can drive modern, AI-aware quality strategy at scale.

Experience

1. Senior Software Engineer in Test

   Carbon

   Jun 2023 — Present

   Achieved a significant reduction in test creation effort (over 90%) by orchestrating AI-assisted acceptance criteria-to-test generation and automating structured case publishing to Azure DevOps, ensuring comprehensive traceability.•Minimized pull request review workload by approximately 90% through leveraging AI-assisted test and code reviews, supplemented with automated checks aligned to established team quality standards.•Developed and maintained C# automation frameworks (SpecFlow/MSTest) and Playwright; integrated automated suites into Azure DevOps CI/CD pipelines alongside AI-generated assets and rigorously reviewed human guardrails.•Managed CI/CD quality gates across build, deployment, and testing for both traditional services and Azure OpenAI-integrated features, including smoke tests for model routing and document-AI workflows.•Conducted deployment validations in pre-production and production-like environments, assessing configuration, data, and AI feature rollout risks prior to customer exposure.•Designed and executed end-to-end testing across UI, API, data, and AI workflows within microservices environments, employing strategies for handling nondeterministic LLM outputs—such as oracles, schema validation, and sampling.•Utilized risk-based testing approaches to prioritize critical AI parsing/extraction engagements and essential regression cases impacting business operations.•Performed backend data validation in Cosmos DB and MongoDB to ensure consistency of AI pipeline

Education

• Atatürk Üniversitesi

  Bachelor's Degree