Deniz Hamamcioglu

Developed a custom test automation framework from scratch using Java, TestNG, Selenide, Allure Reports, Docker, Rest-assured, and full GitLab CI configuration.

Framework features:
• Modular design with Page Object Modal architecture
• Extremely stable, maintainable, and readable
• Easy to work with thanks to its design that implements near-English test step methods
• Ability to measure load times
• Ability to intercept and manipulate HTTP requests and responses
• Ability to send API calls to set up software configuration and test data
• Detailed Allure Test Reports with historical data
• Full integration with GitLab
• Docker and Docker compose set up

I designed an adaptable and reusable test automation framework using Java and Selenium technologies. The software is used for testing a wide variety of web applications including factory maintenance management systems, inventory tracking and order management applications, and other web applications that are developed for commercial and enterprise usage.

Framework Features:
· It was designed according to POM (Page Object Model).
· Implements page and element factory structures.
· Possesses extensive reporting capabilities.
· Validates database entries and file contents.
· Has the ability to use external DOCX, DOC, XLS, XLSX, CSV, and JSON files for inputting test data.

I participated in the development of a test automation software that is used in the defense industry by implementing a record-and-play functionality. The software is used for performing memory injections on industry-leading military simulators for testing purposes.

This Python-based automation software was used in conjunction with a separate C++ based software in order to perform memory injections.

I engineered a unified, end-to-end test automation framework in Python, Pytest, and Appium, designed from the ground up to validate complex embedded firmware, iOS and Android mobile applications, and hardware ecosystems at scale.

The overarching architecture features:
• Hardware and Audio Validation: Designed specialized protocols for embedded device firmware that automatically issue voice commands and utilize Chirp3 for precise auditory output detection and validation.
• Infrastructure and CI/CD: Architected and managed a globally distributed, custom device farm combining on-premise hardware and worldwide servers, fully integrated into GitLab CI/CD pipelines for continuous execution.
• Ecosystem Integrations and Operations: Orchestrated complex multi-device workflows utilizing Firebase for dynamic download operations, integrated Google APIs (Gmail), and leveraged Microsoft Teams for real-time automated result broadcasting.
• Autonomous AI Diagnostics: Innovated an AI-driven failure analysis engine powered by advanced LLMs (including Gemini and Claude) that parses screenshots, test steps, and stack traces to autonomously classify failures and determine root causes using scientific confidence metrics.

I engineered a comprehensive test and monitoring architecture focused on advanced LLM validation and continuous front-end reliability.

Key framework capabilities include:
• AI Model Evaluation: Architected a robust LLM validation and monitoring framework from the ground up, utilizing Python and deepeval.
• Hallucination Detection and Metrics: Engineered complex evaluation methodologies that leverage custom logprob and semantic entropy calculations to dynamically measure AI model confidence and proactively flag hallucinations.
• UI Automation and CI Integration: Designed and implemented automated UI tests using Python and Playwright, seamlessly integrating end-to-end front-end validation directly into GitHub CI pipelines.

I architected and deployed a highly scalable test automation framework using TypeScript and Playwright to ensure the reliability of mission-critical web applications.

Key framework capabilities include:
• Functional, Visual, and Accessibility Testing: Implemented comprehensive automated functional and visual comparison tests to proactively safeguard the main platform's UI integrity, alongside automated accessibility checks to ensure an inclusive and compliant user experience.
• CI/CD Pipeline Optimization: Constructed and optimized end-to-end CI/CD pipelines across both GitLab and GitHub, enabling continuous automated test execution and robust deployment validation.
• Standardization and Documentation: Championed quality engineering by authoring detailed technical documentation and establishing standardized test automation best practices across multiple engineering teams.

I built a comprehensive, unified test automation framework that seamlessly validates mobile applications, web admin panels, and back-end API endpoints within a single architecture.

Key framework capabilities include:
• Full-stack Test Coverage: Engineered a cohesive testing suite targeting mobile applications, web interfaces, and back-end APIs to ensure end-to-end system reliability.
• Massive Execution Scale: Leveraged BrowserStack to massively scale automated test execution, ensuring robust coverage across a wide matrix of devices and operating systems.
• CI/CD and Real-Time Reporting: Integrated the complete automation suite into GitHub Actions CI/CD pipelines, augmented with customized Slack integrations to provide real-time visibility into test execution results.