QA Automation Engineer with 4+ years in AI/Conversational Testing & Automation
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Assessing your cultural and operational fit
Highly motivated and detail-oriented Software Test Engineer with 4.5+ years of experience in manual, automation, API, database, and AI-based application testing. Experienced in testing Conversational AI systems including Chatbots, Voice Bots, and workflow-driven Phone AI solutions. Skilled in validating NLP responses, conversational flows, and real-time AI assistance features. Seeking a challenging role to enhance product quality, improve testing efficiency, and contribute to next-generation AI-driven platforms.
Sant Gadge Baba Amaravati University, Maharashtra
Bachelor of Engineering
August 1, 2015 – June 30, 2015
Ezeiatech Systems Pvt. Ltd.
Senior Software Engineer (QA)
October 1, 2022 – Present
Gurugram, Haryana, India
Flash Electronics India Pvt. Ltd.
Quality Engineer
August 1, 2021 – June 1, 2022
Pune, Maharashtra, India
Collect Xpress
June 28, 2026 – Present
Finance domain application for loan management (Capri Loans)
Odio & OdioBot - Conversational AI Platform
June 28, 2026 – Present
Includes Chatbot (text AI), Voice Bot (Phone AI), and Workflow Automation Supports multi-channel communication (WhatsApp, Email, Calls) Features Live Assist, NLP processing, and AI-based suggestions
Cultural Fit Analysis
The candidate's experience spans AI-driven conversational platforms and finance domain applications, indicating adaptability to different business contexts. Their role as a Senior Software Engineer (QA) aligns well with the target role, demonstrating a clear career path in quality assurance. The breadth of skills listed, from manual to AI/conversational testing and various automation tools, suggests a willingness to learn and apply diverse technologies. However, the absence of diverse project types beyond professional work limits a deeper assessment of cultural fit.
Soft Skills & Operational Fit
The candidate's resume indicates a detail-oriented and highly motivated individual. Their experience in designing and executing test cases for complex AI modules suggests strong analytical and problem-solving skills. The implementation of scalable automation frameworks points to an operational mindset focused on efficiency. However, without psychometric or English test results, a comprehensive assessment of soft skills like communication clarity, work attitude, stress handling, and team collaboration is not possible.