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QA Automation Engineer with 3+ years in Manual Testing, Automation, and AI-based applications.
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Detail-oriented Software Test Engineer with 3.0 years of experience in Manual Testing and foundational knowledge in Automation Testing using Selenium WebDriver with Java. Strong understanding of SDLC and STLC, requirement analysis, test case design, defect lifecycle management, and regression testing. Experienced in testing Gen-AI-based regulatory applications within the Life Sciences domain. Proficient in JIRA and Agile/Scrum methodologies. Committed to delivering high-quality, reliable software solutions.
APJ Abdul Kalam Technological University
B.Tech · Civil Engineering
August 1, 2015 – June 30, 2019
GHSS Mangad, Kollam
Higher Secondary Education
June 1, 2013 – May 31, 2015
ZYLIQ AI Private Limited
Software Test Engineer
July 1, 2024 – December 31, 2025
India
SYMBIANCE Pharma Solutions
Software Test Engineer (Trainee)
January 1, 2023 – June 30, 2024
India
Generative AI Medical Writing Tool (CSR Automation)
January 1, 2023 – June 30, 2024
Tested and validated a Gen-AI-based medical writing tool that generates Clinical Study Reports (CSRs) from protocols, SAPs, and in-text tables. Ensured accuracy, consistency, and regulatory compliance of AI-generated outputs. Designed and executed test cases covering input validation, output comparison, and edge-case scenarios.
Plain Language Protocol Synopsis (PLPS)
January 1, 2023 – June 30, 2024
Tested a Gen-AI-powered application that converts complex clinical trial protocols into patient-friendly summaries. Validated that AI-generated content accurately reflected clinical objectives, eligibility criteria, treatment plans, and risks. Performed functional, regression, and validation testing across multiple protocol inputs.
Plain Language Summary (PLS)
January 1, 2023 – June 30, 2024
Gen-AI solution designed to translate complex clinical and research findings into clear, easy-to-understand summaries for a wider, non-technical audience.
Expert QA Manual and Automation
Obsqura Zone, Trivandrum
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience is primarily within the Life Sciences domain, specifically with Gen-AI-based regulatory applications. This specialization suggests a good fit for companies operating in similar niche areas. The project diversity, while focused on AI in medical writing, shows different applications of AI testing. The role alignment with 'QA Automation Engineer' is strong, given the stated foundational knowledge in automation and experience in manual testing. However, the breadth of skills outside of this specific domain is not extensively demonstrated, which might limit cultural fit in broader tech environments.
Soft Skills & Operational Fit
The candidate demonstrates collaboration skills through working with developers and product teams in Agile/Scrum ceremonies. Mentoring junior QA members indicates leadership potential and a willingness to share knowledge. The professional summary highlights being 'detail-oriented' and 'committed to delivering high-quality, reliable software solutions', which are positive indicators for operational fit.