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Senior Software Engineer with 4+ years in Web Application Testing & Automation
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 4.5 years of experience in web application primarily in the healthcare and Airline domain. Proficient in manual and automated testing using Selenium, with expertise in SQL for database validation. Skilled in performance testing with JMeter and API testing with postman, ensuring product reliability, compliance, and efficiency. Strong analytical thinker with a keen eye for identifying critical bugs and optimizing software quality. Adept at collaborating with cross-functional teams and mentoring peers to drive continuous improvement in testing processes.
Anna University, Chennai
BE · ELECTRONICS & COMMUNICATION ENGINEERING
August 1, 2008 – June 30, 2012
Tata Consultancy Services
SENIOR SOFTWARE TEST ENGINEER
July 1, 2025 – Present
Cochin, Kerala, India
Kameda Infologics
SOFTWARE TEST ENGINEER (QA)
January 1, 2022 – March 1, 2025
Thiruvananthapuram, Kerala, India
Spyrosys
SOFTWARE TESTING TRAINEE
July 1, 2021 – December 1, 2021
Cochin, Kerala, India
ISTQB foundation level certified
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate has experience in diverse domains (healthcare, airline) and has worked in Agile environments, suggesting adaptability and a collaborative mindset. Their experience in mentoring junior testers and coordinating UAT sessions indicates a willingness to contribute beyond individual tasks. However, the current experience is heavily skewed towards QA/testing roles. The target role of 'Senior AI Software Engineer' typically involves significant development, research, and implementation of AI/ML solutions. While the candidate's testing background is valuable for quality assurance in AI systems, the core responsibilities of an AI Software Engineer are not directly aligned with their current profile. This creates a significant gap in cultural fit for a development-focused AI role.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills, evidenced by successfully identifying critical bugs and improving product quality. They have experience collaborating with cross-functional teams and mentoring junior testers, indicating good teamwork and leadership potential. The candidate's ability to ensure successful and timely releases and achieve high customer satisfaction points to a results-oriented and quality-focused work attitude. However, the target role is 'Senior AI Software Engineer', which requires significant development and engineering skills beyond testing. While there's mention of 'AI-based tools' in testing, there's no direct experience in AI/ML model development, deployment, or MLOps, which is a significant gap for an AI Software Engineer role.