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QA Engineer with 4+ years in Software Testing & AI Platforms
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Experienced Software Test Engineer with 4 years of expertise in QA and software testing for web and mobile platforms. Specializes in end-to-end testing of blockchain applications, AI platforms, and HSE solutions. Skilled in validating multi-LLM architectures, ensuring compliance, and integrating with business systems. Proficient in manual and automated testing, test case design, and defect management across usability, functionality, security, and performance. Strong collaborator with cross-functional and AI engineering teams to deliver reliable and scalable software products.
Karunya University
MCA
April 1, 2016 – April 1, 2016
Innobayt innovative solutions
Software test engineer
July 1, 2023 – Present
Dubai, Dubai, United Arab Emirates
Venture infosystems
Software test engineer (intern)
November 1, 2020 – March 1, 2021
Dubai, Dubai, United Arab Emirates
Eram infotech
QA engineer
April 1, 2018 – December 1, 2019
Cochin, Kerala, India
CRS Technologies India Pvt Ltd
Test engineer
April 1, 2018 – December 1, 2019
Cochin, Kerala, India
Software testing
Qspider institute
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience spans diverse domains including AI, blockchain, fitness, social media, and enterprise solutions, indicating adaptability and a broad interest in various technologies. Their roles consistently align with QA engineering, demonstrating a clear career path and commitment to quality assurance. The breadth of skills, from manual testing to automation frameworks and database validation, suggests a versatile team player.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills, critical thinking, and effective collaboration with cross-functional teams (product, AI/ML, backend, DevOps). Their experience in Agile methodologies (Scrum, Kanban) indicates a good operational fit for dynamic development environments. The ability to identify edge cases and AI behavior inconsistencies is crucial for a senior QA role.