Daniil Burlac

Project: Google Assistant AI & Search Optimization

• Designed a cutting-edge AI-powered test automation framework, reducing bug detection time by 40%
• Developed self-healing test scripts that adapt to UI changes, improving test resilience by 30%
• Spearheaded cross-browser and mobile testing across Chrome, Safari, Edge, and Android/iOS devices
• Implemented Machine Learning models for log analysis, optimizing fault prediction accuracy by 45%

Project: AWS AI & NLP Testing

• Led end-to-end automation testing for AWS AI services, ensuring 99.9% uptime for production models
• Developed advanced NLP-based anomaly detection tools, reducing API failure rates by 38%
• Optimized chatbot performance for Alexa and AWS Lex, improving natural language understanding accuracy by 25%

Project: Enterprise POS and Inventory System

• Designed and executed automated test suites, reducing regression testing efforts by 50%
• Led API testing efforts using Postman and RestAssured, ensuring seamless backend functionality
• Spearheaded CI/CD testing integration, decreasing deployment failures by 60%