QA Engineer with 2+ years in Manual, Automation, and API Testing
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Software Test Engineer with 2.2 years of experience in Manual Testing, Automation Testing, and API Testing. Hands-on experience in Selenium WebDriver with Java and Postman for API testing. Experienced in testing AI-based chatbot and automation platforms with strong focus on quality and reliability.
IACSD, Pune
PG-DAC
August 1, 2020 – June 30, 2020
Pune University
Bachelor of Engineering
August 1, 2016 – June 30, 2016
AutomationEdge Technology
Software Test Engineer
January 1, 2021 – March 1, 2023
Pune, Maharashtra, India
Cognibot for IT
January 1, 2021 – March 1, 2023
Cognibot for IT is an AI-based IT support chatbot developed by AutomationEdge Pvt. Ltd. to automate IT service desk operations. The chatbot enables employees to raise IT tickets for password reset, system access, software installation, and incident reporting. Integrated with ITSM tools to automatically create, update, and close tickets. Provides 24/7 IT support, reducing helpdesk workload and improving response time. Improves efficiency and user experience by automating repetitive IT support tasks.
AI_Studio
January 1, 2021 – March 1, 2023
AI_Studio is an AI platform used to build intelligent chatbots and smart search solutions. Uses Natural Language Understanding (NLU) to understand user questions and identify intent. Supports Knowledge Management (KM) to fetch answers from documents such as PDFs and files. Chatbots created using AI_Studio can be deployed on multiple channels like web chat, MS Teams, and WhatsApp. Connects AI with automation to reduce manual work and improve user support.
Cultural Fit Analysis
The candidate's experience is primarily within a single company, AutomationEdge Technology, focusing on AI-based IT support and automation platforms. This specialization aligns well with roles requiring expertise in emerging technologies and complex system testing. The project diversity, while within a niche, shows exposure to different aspects of AI platform testing (chatbot functionality, NLU, KM, ITSM integration). The target role of QA Engineer is a direct match for the candidate's professional experience and stated skills.
Soft Skills & Operational Fit
The candidate's experience in analyzing business requirements, designing test cases, and coordinating with development teams indicates good analytical and collaboration skills. The focus on quality and reliability in testing AI platforms suggests a detail-oriented and responsible approach to work. However, without specific psychometric or English test scores, a deeper assessment of communication, logical reasoning, stress handling, and team collaboration is not possible.