Erdal Kilic
Senior Software Development Engineer in Test building intelligent automation, AI-powered failure investigation, scalable test frameworks, and cloud-ready quality engineering solutions.
PLATFORM CAPABILITIES
AVAILABLEGitHub CI Intelligence
Workflow monitoring
AI Failure Investigation
Root-cause assistance
AI Career Assistant
Interactive conversations
Intelligent Job Matching
Resume analysis
$ quality-engineering --ai-enabled
✓ Intelligent automation platform ready
ABOUT ME
I specialize in designing scalable test automation frameworks for complex enterprise applications across financial services, healthcare, and cloud platforms.
My expertise spans UI automation, API and microservices testing, database validation, AWS cloud technologies, and continuous integration.
I am actively developing AI-powered engineering projects that explore how language models and intelligent agents can improve software testing and developer productivity.
CAREER
Software Development Engineer in Test (SDET)
Jersey City, NJ
Engineering scalable automation frameworks for enterprise financial applications. Working with Java, Playwright, Selenium, API testing, AWS, CI/CD, and AI-assisted development.
Software Development Engineer in Test (SDET)
Jersey City, NJ
Developed automation frameworks using Java, Selenium, JUnit, Cucumber, and Maven. Supported functional, regression, and cross-browser testing.
Software Development Engineer in Test (SDET)
New York, NY
Built Java and Selenium automation, validated Oracle databases, and integrated automated testing with Jenkins and Maven.
TECHNOLOGIES
CREDENTIALS
✓ Certified
✓ Certified
ENGINEERING PORTFOLIO
Practical engineering projects demonstrating modern automation, AI development, cloud integration, and software quality.
Healthcare quality engineering platform featuring API validation, PostgreSQL, automated regression tests, and CI/CD workflows.
Modern browser automation framework using Playwright and TypeScript with automated quality checks.
Python-based automation framework combining Pytest, Playwright, and emerging AI-assisted testing capabilities.
Hands-on AI engineering experiments with local language models, intelligent agents, structured outputs, and tool integration.
Explore working AI-powered engineering tools, including an interactive career assistant, GitHub Actions CI intelligence, automated failure investigation, and intelligent job matching.
Interactive engineering conversations
Real GitHub Actions workflow status
AI-assisted root-cause investigation
AI-powered resume and role analysis
eAI · ENGINEERING INTELLIGENCE
Advanced AI assistance for coding, automation testing, AWS, generative AI, and software engineering.
eAI
Professional AI Engineering Assistant
Powered by Cloudflare Workers AI · AI-generated responses may contain inaccuracies.
eAI 4.4
Interactive quality engineering dashboard demonstrating automated test reporting, execution analytics, and CI/CD observability.
DEMO DATA — Simulated test results, not live executions
Total Tests
10
Passed
7
Failed
2
Pass Rate
78%
Distribution of demo tests by category; not code coverage.
| Test ID | Test Case | Category | Status | Duration |
|---|---|---|---|---|
| QA-001 | User login validation | UI | Passed | 1.2s |
| QA-002 | Invalid password handling | UI | Passed | 0.9s |
| QA-003 | Claims API response validation | API | Passed | 0.4s |
| QA-004 | Claims API authorization | API | Failed | 2.1s |
| QA-005 | Database synchronization | Integration | Passed | 3.2s |
| QA-006 | S3 event processing | Integration | Passed | 1.8s |
| QA-007 | End-to-end policy workflow | Regression | Failed | 5.4s |
| QA-008 | Cross-browser validation | Regression | Skipped | 0s |
| QA-009 | API schema validation | API | Passed | 0.3s |
| QA-010 | Session expiration | UI | Passed | 1.1s |
Live CI Data Controls
Refreshing GitHub Actions data...
GitHub Actions results may be cached for up to five minutes.
eAI 5.0 / CI INTELLIGENCE
Metrics calculated from recent GitHub Actions workflow results. These are workflow metrics, not individual test results.
Loading CI health metrics...
eAI 5.1 / REPOSITORY INTELLIGENCE
Repository-specific workflow results from recent GitHub Actions executions. Success rates are based on completed runs with success or failure conclusions.
Loading repository health...
Recent workflow executions retrieved from public GitHub repositories. Workflow success does not necessarily represent individual test counts. Results are cached for up to five minutes.
Loading GitHub Actions results...
eAI 4.8
Investigate real GitHub Actions failures using authenticated CI logs, extracted errors, or verified workflow metadata.
No failed workflows found in the latest GitHub Actions results.
eAI 4.6
Paste an automation failure log to receive AI-assisted root-cause analysis, debugging recommendations, and suggested fixes.
Do not paste passwords, tokens, personal data, or confidential logs.
0/3000eAI 6.0 / TEST ENGINEERING
Transform natural-language requirements into automation test code using AI. Generate a starting point for UI and API testing, then review and adapt it to your application.
AI-generated code is a draft. Verify selectors, fixtures, endpoints, assertions, dependencies, and security before use.
Generated test code will appear here.
REAL-WORLD ENGINEERING
Explore my hands-on work in AI-assisted quality engineering, automated testing, and CI/CD.
AI + API TESTING
Healthcare claims API testing, automated regression, PostgreSQL, AWS service mocks, and GitHub Actions CI/CD.
View Repository →
TEST AUTOMATION
TypeScript, Playwright, cross-browser testing, automated regression, and code quality checks.
View Repository →
AI-POWERED RECRUITING
Compare a job description against my resume using local AI.
LET'S CONNECT
Open to discussing opportunities in software quality engineering, test automation, cloud technologies, and AI-powered engineering.
Contact Me →Jersey City, New Jersey · United States