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QA Automation Engineer with 7+ years in Manual, API, and AI-driven System Testing
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Assessing your cultural and operational fit
Senior QA Engineer with 06 years of experience in Manual Testing, API Testing, and specialized domains including chatbot, voice bot, and invoice extraction testing. Adept at validating complex Al-driven systems, identifying critical defects, and ensuring end-to-end product quality in agile SaaS environments.
Basaveshwar Engineering College
MCA · Master of Computer Application
August 1, 2015 – June 30, 2018
E42.ai
Senior QA Engineer
October 1, 2024 – Present
Pune, Maharashtra, India
Yellow.ai
QA Engineer
March 1, 2022 – October 1, 2024
Bengaluru, Karnataka, India
Ajapro Ai Technologies Private Limited
QA Engineer
March 1, 2021 – March 1, 2022
Bengaluru, Karnataka, India
VRAIO Software Solutions
Junior QA Engineer
January 1, 2019 – March 1, 2021
Bengaluru, Karnataka, India
Cultural Fit Analysis
The candidate has worked in diverse companies, including Yellow.ai, E42.ai, and Ajapro Ai Technologies, all of which appear to be AI-focused or tech-driven, indicating a good fit for innovative environments. Their experience with various high-profile projects (DANA, Adani Airport, Samsung 2.0, Dubai Police) and multi-language support (English, Hindi, Spanish, Arabic) suggests adaptability and a global mindset. The breadth of testing types and tools used also points to a willingness to learn and adapt to different project requirements, aligning well with a dynamic work culture.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills, working with cross-functional teams, stakeholders, and developers to resolve defects and refine test methods. Their experience in analyzing feedback to fine-tune bots and consistently hitting quality gates indicates a proactive and quality-driven work attitude. The ability to deliver daily progress reports and build comprehensive test scenarios suggests good organizational and communication skills within an operational context.