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Quality Assurance Engineer with 3+ years in AI/LLM/RAG Testing & Automation Testing
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Quality Assurance Engineer with 3.7+ years of experience in Functional Testing, Automation Testing, AI/LLM/RAG Testing, and Salesforce CPQ Testing within Agile and Scrum environments. Specialized in hallucination detection, RAG pipeline verification, LLM response validation, agentic Al testing, multi-agent system testing, and MCP (Model Context Protocol) endpoint testing. Proven track record delivering defect-free releases across platforms. Proficient in Selenium, Playwright, Postman, JIRA, TestRail, SQL, BDD/Cucumber, and Salesforce.
Sandip Institute of Technology & Research Center
Bachelor of Engineering · Computer Science
N/A – June 30, 2022
Tudip Technologies Pvt Ltd
Quality Assurance Engineer
September 1, 2022 – Present
Pune, Maharashtra, India
SolveCube - Talent & Workforce AI Platform
June 30, 2026 – Present
• Guided end-to-end QA for an AI-powered talent sourcing platform, covering functional, API, regression, and LLM/RAG-specific test scenarios across major feature releases. • Authenticated RAG pipeline outputs for retrieval quality, response mapping, and contextual grounding hallucination and retrieval failures, preventing production incidents. • Deployed GenAI-based test data generation to produce candidate profiles and edge-case scenarios, reducing manual test data preparation time. • Coordinated with product owners in Agile sprint ceremonies, directing UAT sessions and delivering live client demos to confirm AI feature readiness.
Livongo - Digital Healthcare Platform
June 30, 2026 – Present
• Carried out functional, REST API, regression, and UAT testing for a digital health platform serving chronic disease management workflows, achieving zero critical defects across major releases. • Developed and maintained structured test cases in TestRail covering functional modules, enabling repeatable and comprehensive test coverage each sprint cycle. • Performed cross-device and cross-browser testing on web and mobile (iOS/Android), confirming UI consistency and functional accuracy across platforms.
Teladoc Health – Salesforce CPQ Platform
June 30, 2026 – Present
• Carried out end-to-end functional and regression testing of Salesforce CPQ modules - confirmed quote configuration, pricing rules, and approval workflows for a global telehealth client, reducing CPQ defect escapes. • Tested API integrations using Postman and authenticated data consistency between Salesforce sandboxes with mock payloads, ensuring field mapping accuracy across environments.
Cultural Fit Analysis
The candidate's experience across diverse projects (digital healthcare, AI talent platform, Salesforce CPQ) indicates adaptability and a broad skill set. Their focus on cutting-edge AI testing and leveraging GenAI tools suggests a proactive and growth-oriented mindset, which aligns well with innovative and fast-paced technical cultures. The consistent achievement of 'zero critical defects' across major releases points to a strong commitment to quality and a collaborative approach within teams.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through their experience in Agile sprint ceremonies, collaboration with product owners and developers, and preparation of detailed QA documentation. Their ability to manage multiple test plans simultaneously and contribute to zero critical defects indicates strong organizational and quality-focused soft skills. The use of GenAI for test data generation also highlights an innovative and efficiency-driven mindset.