Rishi Aravind Bolisetty
Senior Quality Assurance Engineer (Ai & Ml Testing) @CHS Inc.
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WORK HISTORY
Senior Quality Assurance Engineer (Ai & Ml Testing) @CHS Inc.
US
EDUCATION
University of Utah
Master's degree, Management Information Systems, General
Vellore Institute of Technology
Bachelor of Technology (B.Tech.), Electrical, Electronics and Communications Engineering
Dr.K.K.R's Gowtham Concept Schools
Secondary Education
SKILLS
ABOUT RISHI ARAVIND BOLISETTY
As a Senior QA Engineer, I specialize in ensuring the quality and reliability of AI-driven solutions. With extensive experience evaluating large language models (LLMs), time-series models, and multi-modal machine learning systems, I leverage SQL, and Dataiku to rigorously assess model performance — detecting drift, bias, and ensuring robust model fit — all to guarantee production readiness. This technical foundation enables me to uphold the highest standards and confidence in AI initiatives.I have hands-on expertise testing both rule-based and LLM-powered apps, validating comprehensive intent coverage, high-quality responses, coherent conversation flows, and resilient handling of edge cases. This ensures seamless, user-friendly interactions that boost customer satisfaction across diverse scenarios.I’ve also driven the adoption of prompt engineering practices using tools like Microsoft Copilot to streamline test creation and QA workflows. By designing and refining optimized prompts, I’ve accelerated the development and evaluation of AI features. Additionally, I focus on generating synthetic data to simulate real-world and edge-case scenarios, expanding test coverage and uncovering potential issues early in the development cycle.Beyond AI testing, I’m proficient in test automation using Selenium, Cypress, and Playwright across web applications, APIs, and data platforms. I developed a proof of concept leveraging Playwright MCP server powered by Claude Sonnet to enable browser automation through natural language commands—demonstrating how AI-assisted approaches can reduce manual effort and elevate QA efficiency.
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