

Team leadership — led a team of 25 QA engineers to deliver multiple major go-live — planning, mentoring, review and cross-team coordination under release pressure
Test strategy & governance — defining test strategy, KPIs and automation success factors; effective test management and documentation
Event-driven systems testing — testing distributed, event-driven architectures — Kafka-based message flows, contract testing and schema/topic-level validation across microservices
Automation & functional testing — web, API and mobile automation across Retail, e-learning, Pharma and Media in agile delivery
Frameworks & tooling — Selenium WebDriver, Cypress, Playwright, Appium, BDD/Cucumber-JVM, Serenity-BDD, Maven, Jenkins CI
Service virtualization — setting up mock environments with Wiremock, Json-Server and related techniques
ETL & test data — testing and automation of ETL applications and automated test-data management
SDLC coverage — test scenarios, case design, execution and defect tracking end to end
AI & agentic dev tooling: GitHub Copilot (CLI, VS Code, native agents), Claude / Anthropic API, GitHub Actions AI agents, adaptive AI-powered automation frameworks
UI automation: Selenium IDE / WebDriver / Grid, Sikuli, Cypress, Playwright
Mobile automation: Appium, Xcode (simulators / emulators / real devices)
Mocking / stubbing: Wiremock, Mockito, Json-Server, Puppeteer, Cypress
Test frameworks: TestNG, JUnit, Cucumber, Serenity-BDD
API testing: Postman, RestAssured, Unirest, Apache HTTP Client
Performance: JMeter, NeoLoad
CI / SCM: Jenkins, Git, SVN
Test management: Xray, Zephyr, JIRA
Build / dependency: Maven
Languages: Java, Python
Databases: MySQL, MariaDB, Teradata, Aurora PostgreSQL
Messaging & DevOps: Apache Kafka, Docker, Kubernetes
Platforms: Windows, macOS, Linux
API / services: Spring Boot
AI self-debugging QA pipeline: built a three-agent pipeline (failure analysis, trend analysis, and fix recommendation / automated PR raising) using GitHub Copilot CLI orchestrated within Jenkins
so failing suites are triaged and remediated with minimal manual intervention
Impact Analyser QA Assistant: AI assistant that analyses GitHub pull requests
maps blast radius across services
business functions and integrations
generates prioritised Xray test recommendations Implemented as a GitHub Actions PR-impact agent and a GitHub Copilot native-agent variant
with CodeQL-based code analysis and schema/topic-level Kafka impact detection
DQ AI agents: a GitHub Copilot VS Code agent that automates JIRA/Xray data pulls to keep UAT status reports current
a Python CLI agent for Aurora PostgreSQL data-quality checks that uses the Anthropic API for natural-language-to-SQL and emits plain-English summaries
JSON output and pass/fail verdicts
Agentic reporting: AI-assisted generation of executive UAT and Data-Quality reporting — Outlook-compatible HTML emails
Teams Adaptive Cards and PowerPoint dashboards
Annual Award (Leadership) for leading and strategizing testing across the complex SAP S/4HANA integrations
Reduced manual effort by 80% and delivered SAP/S4 integrations with 0% UAT issues
Saved 60K Euro in tooling cost via mocking utilities and an open-sourced automation strategy for integration testing in the SAP transformation programme
Supported pre-sales demos and helped convert 5 customers during tenure at QA InfoTech / Qualitest
Awarded $1,000 by Harvard Business Publishing for integrating test automation with CI
Speaker: ETL Test Automation / TDM (Prastuti 2019) and Cucumber Anti-Patterns (Oct 2021)
Two-time Spot Bonus (best in division); UI & API test-automation trainer since July 2017