Ashrafuzzaman Hossasin

I was focused on upskilling LLM powered systems: agentic workflows, RAG pipelines, multi-agent orchestration, and LLM evaluation and acquired the following certifications:

IBM Generative AI Engineering Professional Specialization Certificate (2025)

• IBM AI Developer Professional Specialization Certificate (2026)

• IBM RAG and Agentic AI Professional Certificate (2026)

• IBM Generative AI for Executives & Business Leaders (2025)

• IBM Generative AI for BI Analysts Specialization (2025)

• • Architected Playwright + Cypress automation frameworks (Python, TypeScript) for Angular UI and Node.js microservices on Boeing's next-gen pilot platform — a safety-critical, high-availability system.

• • Built end-to-end automation across UI, API, and CLI layers, achieving 90%+ regression coverage. Cut regression cycle time from five days to one through parallel execution in GitHub Actions and Azure DevOps.

• • Introduced AI-assisted flaky test detection that reduced test instability by 30% — primarily by surfacing tests that were silently passing when they should have been failing.

• • Built test observability dashboards (coverage trends, defect distributions, execution metrics) so quality decisions were driven by data, not gut feel.

• • Collaborated with developers on white-box testing and root cause analysis; identified performance bottlenecks improving system responsiveness ~25%.

• • Built scalable API automation frameworks (Python, Rest Assured) achieving 90%+ endpoint coverage for aviation charting microservices with strict data accuracy requirements.

• • Designed and maintained CI/CD pipelines (Jenkins, GitLab CI/CD) enabling continuous validation on every merge.

• • Built a service virtualization layer (WireMock) that eliminated test failures caused by third-party dependency instability — reducing that failure class by 70%.

• • Executed performance and load testing (JMeter, Locust) to validate scalability under real-world traffic profiles; contributed backend fixes from root cause analysis findings.

• • Delivered QA metrics and defect analytics that reduced production escapes by 35%.