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Software Engineer with 2+ years in AI/LLM, Web, Mobile, and API Testing
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Software Test Engineer with 2+ years of experience in manual testing, API testing, web and mobile application testing, chatbot validation, and AI/LLM prompt injection testing across enterprise and AI-driven platforms. Proficient in functional, regression, smoke, sanity, and end-to-end testing with hands-on expertise in JIRA, Postman, and Agile/Scrum methodologies. Delivered defect-free releases for enterprise clients including chatbot and WhatsApp bot platforms. Improved test coverage by 85% and reduced post-release defects by 35% through structured STLC execution.
The Oxford College of Science
M.Sc.
August 1, 2019 – June 30, 2022
Government First Grade College
B.Sc.
August 1, 2015 – June 30, 2018
KIXR Technologies Private Limited
Software Test Engineer
October 1, 2023 – Present
Bengaluru, Karnataka, India
Kiksy.AI – Full Platform QA (Web, WhatsApp Bot, AI Chatbot)
October 1, 2023 – June 1, 2026
End-to-end Web application and API testing of an AI chatbot and WhatsApp bot platform covering functional, regression, smoke, UI, and prompt injection testing; REST API and webhook validation via Postman; KB content management; Understanding client requirements, business need and identifying test scenarios.
KIXR 3D Web App & VTO Builds – Immersive Platform QA
October 1, 2023 – June 1, 2026
Comprehensive QA for a 3D avatar and product customization platform and VTO module for Titan and Fastrack - UI testing, cross-browser rendering validation, avatar and apparel flow testing, defect lifecycle management in JIRA, and regression testing post every build update.
Cultural Fit Analysis
The candidate's experience with AI-driven platforms and immersive technologies (3D web apps, VTO modules) suggests adaptability to innovative and fast-paced environments. Their involvement in end-to-end QA for diverse projects like AI chatbots and 3D customization platforms indicates a breadth of exposure. The focus on structured testing processes and defect management aligns with a culture that values quality and efficiency. However, the limited project diversity (both projects are from the same company) and the target role being 'Software Engineer' rather than 'QA Engineer' might indicate a slight misalignment, as their experience is heavily skewed towards QA.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through their experience in Agile/Scrum ceremonies, test plan/case creation, RTM maintenance, and stakeholder communication. Their ability to reduce defects and improve test coverage indicates a results-oriented approach. However, the provided data does not offer sufficient insight into specific soft skills like leadership, conflict resolution, or advanced problem-solving beyond testing execution.