name: Yunus Emre YΔ±ldΔ±z
title: Senior QA & Test Automation Engineer
location: Istanbul, Turkey
experience: 4+ years
passion: AI-Powered Testing Solutions
current_role: Senior QA Engineer @ PttAVMResults-driven QA Engineer specializing in AI-powered test automation and framework development. I've reduced testing cycles by 60% and improved bug detection rates across e-commerce, retail, and travel industries.
- π§ AI-Powered Testing - Implementing ML algorithms for intelligent test case generation
- ποΈ Framework Architecture - Building robust automation frameworks from scratch
- π± Mobile & Web Testing - Expert in Selenium, Appium, and cross-platform testing
- β‘ CI/CD Integration - Optimizing testing pipelines for faster releases
- π₯ Team Leadership - Mentoring junior engineers and driving automation strategies
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graph TD
A[AI-Powered Testing] --> B[Test Automation Frameworks]
B --> C[CI/CD Optimization]
C --> D[Team Mentoring]
D --> E[Performance Testing]
E --> F[Quality Assurance]
F --> A
- ποΈ Architected end-to-end test automation framework from scratch
- π€ Developed AI-powered testing tools improving coverage by 40%
- π Serving platform with 1M+ daily users
- π± Designed mobile test automation suite achieving 85% coverage
- β‘ Reduced release cycle from 5 days to 2 days
- π Identified 30+ critical production issues
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- π₯ Mentored team of 2 junior QA engineers
- πͺ Led automation for Turkey's leading retail company (500+ stores)
- π Developed hybrid framework reducing regression time by 65%
- π οΈ Built custom testing tools saving 20+ hours weekly
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- π₯ Mentored team of 5 junior QA engineers
- π Bachelor of Science in Software Engineering - Dogus University (2021)
- π Internet of Things (IoT) - Opthema Certified
- π ISTQB Foundation Level (In Progress)
π Achieved finalist position among 500+ competing teams
π§ Developed control software for symbiotic aerial/ground vehicle
π Location-based parking finder for Istanbul
π Real-time availability updates
π± Agricultural management system
π‘ IoT sensor integration for real-time crop monitoring