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QA Engineer with 3+ years in AI/LLM Testing & Automation
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Delivered 3+ years of experience as a Software Test Engineer in the software industry. Basic understanding of Large Language Models (LLMs), prompt engineering, and AI-generated responses. Tested AI-driven workflows by validating prompt inputs, response accuracy, and edge-case handling. Performed validation of chatbot responses for correctness, relevance, and context consistency. Conducted manual testing of chatbot/AI-based systems to validate conversational flows and user intent handling.
SRTMUN Nanded, University
Master in Computer Science
N/A – June 30, 2022
RIT Sangli, Islampur
Bachelor of Technology
N/A – June 30, 2020
Codenza Technologies LLP
Software Test Engineer
December 1, 2022 – Present
Pune, Maharashtra, India
CASEMANAGER
June 12, 2026 – Present
Case-Manager is a web-based application designed to manage POSH (Prevention of Sexual Harassment) and disciplinary cases within an organization. The system enables secure case registration, investigation tracking, evidence management, and resolution workflows while ensuring confidentiality and compliance with internal policies and legal. • Analyzed BRD, FRS, and user stories to understand POSH and disciplinary workflows. • Designed and executed test cases for case registration, investigation, evidence upload, and resolution modules. • Performed functional, integration, system, and regression testing. • Validated role-based access control (Admin, HR, Committee Member, Employee). • Automated regression test cases using Python with Selenium. • Conducted API testing using Postman for case status updates and notifications. • Logged and tracked defects using JIRA and participated in defect triage meetings. • Supported UAT and ensured compliance with POSH guidelines and internal policies.
Quadz
June 12, 2026 – Present
QUADZ is a college-based social networking and learning platform designed for students. It allows students to connect with their classmates, share posts, participate in discussions, and access academic-related content within a secure college community. The application helps improve communication among students, supports knowledge sharing, and creates a collaborative learning environment. It may include features like user profiles, posts, comments, notifications, and college specific groups. • Analyzed BRD, FRS, and user stories to understand application features and student interaction workflows. • Designed and executed test cases for modules such as user registration, login, profile management, post creation, comments, likes, and notifications. • Performed Functional, Integration, System, and Regression Testing to ensure smooth performance of the application. • Validated user authentication, session management, and access permissions for different user roles. • Conducted mobile application testing on Android devices to verify usability and performance. • Performed API testing using Postman for features like post creation, comments, and notification services. • Logged and tracked defects using JIRA and collaborated with developers to resolve issues. • Leveraged AI tools like GitHub Copilot to generate and optimize automation test scripts. • Performed AI-driven testing by validating application behavior with multiple input variations and edge-case scenarios. • Worked with Playwright for exploratory automation testing and cross-browser validation. • Used AI-assisted approaches to improve test case design and identify missing scenarios. • Validated dynamic content and user interactions using intelligent test design strategies. • Participated in Agile ceremonies such as sprint planning, daily stand-ups, and sprint review meetings.
Cultural Fit Analysis
The candidate's project experience, particularly 'Quadz' which is a social networking and learning platform, shows diversity in application domains. Their involvement in Agile ceremonies and collaboration with developers indicates a team-oriented approach. The explicit mention of leveraging AI tools and AI-driven testing suggests a forward-thinking mindset, which aligns well with innovative and technology-driven cultures. The experience in both web and mobile testing, along with AI/LLM testing, demonstrates a broad skill set suitable for dynamic environments.
Soft Skills & Operational Fit
The candidate demonstrates good collaboration skills, having worked effectively in Agile/Scrum environments and with cross-functional teams. Their ability to quickly learn and adapt to new tools and technologies suggests a proactive and flexible operational fit. The use of AI tools like GitHub Copilot indicates an openness to leveraging modern technologies to improve efficiency.