Headline

QA Automation Engineer @ gnani.ai | 4 YoE | MSc Cybersecurity @ NCI Dublin | Stamp 1G | Ex-Accenture | QA Automation | Playwright Typescript | ISTQB | SOC Analyst | CEH | SC-200 | AI Agents & Data Quality |

About

A recent MSc Cybersecurity graduate from the National College of Ireland, currently contributing as a QA Product at gnani.ai. Strong background in automation testing, API validation, and leveraging tools like Playwright, PyTest, and RAGAS for LLM-based applications. Academic foundation in computer engineering enhances technical expertise in cybersecurity and data quality validation. At gnani.ai, collaborates with the team to ensure robust product quality through automation and innovative testing frameworks. Passionate about advancing cybersecurity and automation solutions, with a focus on enabling seamless and accurate AI-driven applications. Aims to bring a detail-oriented and collaborative approach to embedding quality across development processes.

Location

Dublin

AI stack

claude

codex

cursor

elevenlabs

hugging face

mcp

Work experience

Quality Assurance Automation Engineer at gnani.ai, Mar 2026 - Present · 8 mos, Bengaluru, Owned end-to-end QA for three enterprise AI products, driving automation, performance, security, release validation, and production quality. Built the Playwright TypeScript automation framework from scratch using the Page Object Model (POM), delivering 55+ automated functional and regression test cases. Accelerated automation development by integrating the Playwright MCP Server, Cursor IDE, and Claude Sonnet 4 into the testing workflow. Conducted VAPT application, network, and AI security assessments aligned with the OWASP Web Security Testing Guide, OWASP Agentic AI Top 10, and OWASP LLM Top 10. Designed and executed k6 and Locust performance tests, benchmarking STT/TTS latency, identifying bottlenecks, and improving system performance. Validated billing workflows, usage metering, scheduled jobs, APIs, and databases to ensure accurate customer billing and production readiness. Performed functional, regression, smoke, sanity, exploratory, API, and database testing for enterprise AI applications. Integrated automated testing into Jenkins CI/CD using Docker, implemented automated execution summary emails with HTML reports and test artifacts, and leveraged GitLab, Argo CD, and Grafana for release management and deployment monitoring. Executed end-to-end validation using MongoDB and ClickHouse, ensuring data integrity, analytics accuracy, and production readiness. Led Post Release Verification (PRV), coordinated production releases, authored release notes, and partnered with engineering, product, and delivery teams to improve software quality.

QA LLM Engineer - Product & Engineering at graas, Jul 2025 - Mar 2026 · 9 mos, Pune District, – Architected a Playwright-based test automation framework for functional testing, automating E2E, regression, smoke, and sanity test suites and reducing manual effort by 77%. – Automated API test suites in Python integrated with Snowflake to validate business metrics and ensure data integrity for LLM-based applications, reducing manual testing effort by 80%. – Established agentic AI validation framework for LLM based agentic AI e-commerce application using PyTest & RAGAS, benchmarking AI outputs against Snowflake-derived ground-truth data. – delivered Cypress based automation scripts for UI and API based performance testing. – Configured a YAML based data quality validation script using SODA, to perform data-profiling and data-quality checks on data warehouses. – Orchestrated CI/CD pipelines in Jenkins for cross-browser, API, and data-validation suites, reducing manual testing efforts in cost and time. – Conducted root-cause analysis across automation pipelines using Grafana, DataDog, and Solarwinds to reduce production defects. – Partnered with cross-functional Scrum teams to define acceptance criteria, design test strategy, and improve test pyramid coverage to enhance overall product reliability. – Communicated effectively with PO to design and implement test cases for new release features. – Managed SDLC & sprint tasks using JIRA, defect tracking and logging across the sprint cycles, proficient in Agile methodology. – Executed test cases and managed test execution using AIOTests during the SDLC. – Generated requirement traceability matrices (RTM) and sprint-wise test execution reports to track QA metrics and present quality insights to senior stakeholders during regular sync-up meetings. – Executed manual integration testing across web servers and data stores, including Amazon S3, MongoDB, and Snowflake databases. – Served as SME for automation testing, by mentoring as well as leading a small team of manual testers in automation testing areas.

Quality Engineering Associate at Accenture, Aug 2021 - Jun 2023 · 1 yr 11 mos, Pune, Maharashtra, India, Technology : Automation Testing, API Testing 1. Working on Automating the test cases for end-to-end validation of smart pricing application. 2. Working on Automated API Testing using ReadyAPI. 3. Building and stabilizing Azure CI/CD Pipelines. 4. Softwares : Visual Studio Code IDE, ReadyAPI 5. Automation Testing Frameworks : Protractor, Playwright

Education

MSc Cybersecurity, National College of Ireland

Bachelor of Engineering - BE, Computer Engineering, Pimpri Chinchwad Education Trust'S. Pimpri Chinchwad College Of Engineering