
Roshni Jambhulkar
@roshnijambhulkar
SDET at Perficient India testing Ford’s Gen AI platform with Playwright pipelines for model performance and hallucinations.
What I'm looking for
At Perficient India, I built automated evaluation pipelines for Ford Gen AI Enterprise Platform & LLM Evaluation using Playwright and Arize AI to monitor model performance, detect hallucinations, and measure response drift.
For ADI Coveo Search, I architected Playwright end-to-end tests for search integrations and relevance, and validated backend responses against expected data. I also tested cross-browser and mobile accessibility using BrowserStack and LambdaTest.
On Ford Analytics & Metrics, I wrote Playwright test suites to verify data layers, event triggers, and engagement metrics, and integrated automated scripts into CI/CD pipelines. My work also includes REST API testing, database validation, and testing agent behavior and enterprise safety guardrails.
Experience
Work history, roles, and key accomplishments
Built automated evaluation pipelines for Generative AI applications using Playwright and Arize AI, and developed test suites for autonomous agentic logic and backend REST APIs. Integrated relational database testing with PostgreSQL and executed non-functional quality testing including latency, accessibility, and cross-environment execution.
Architected automated end-to-end Playwright test scenarios for complex search algorithms and Coveo search integrations, validating dynamic indexing and search relevance logic. Managed full defect lifecycles in JIRA and executed cross-browser and mobile accessibility automation across LambdaTest and BrowserStack.
Spearheaded QA and data validation for the 'Metrics Platform,' writing Playwright test suites to verify complex data layers, event triggers, and real-time engagement metrics. Integrated automated scripts into CI/CD pipelines, reducing regression cycles for fast-moving platform deployments.
Executed specialized AEM metrics authoring and validation for enterprise platforms in the US and Canada markets. Designed and executed regression and smoke automation suites, maintaining application stability through continuous deployments.
Education
Degrees, certifications, and relevant coursework
RCOEM
Master's Degree, Computer Science and Engineering
Master's degree in Computer Science and Engineering from RCOEM, Nagpur, completed in 2021.
RTMNU
Bachelor's Degree, Computer Science and Engineering
Bachelor's degree in Computer Science and Engineering from RTMNU, Nagpur, completed in 2017.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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