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QA Engineer with 4+ years in API, Backend, and AI/LLM Testing
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Assessing your cultural and operational fit
QA Engineer with 4.5+ years of experience testing complex web and backend systems in Agile environments. Strong quality mindset with hands-on experience in API testing, backend validation, and extensive experience testing AI/LLM-based applications. Expertise in validating non-deterministic outputs, prompt-driven behaviours, and agentic workflows. Known for proactive risk identification and collaboration with cross-functional teams on business-critical systems.
SRTMU, Nanded
Bachelor of Engineering · Computer Science
January 1, 2011 – January 1, 2015
MSBTE
Diploma · Computer Science
January 1, 2009 – January 1, 2012
Webomates Inc.
Manual QA Engineer
July 1, 2023 – Present
India
QA India
QA Test Engineer
June 1, 2021 – March 1, 2023
India
Manual and automation testing (selenium with Python)
Udemy
June 1, 2026 – Present
AI for Everyone: Understanding and Applying the Basics
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate has experience in remote roles, indicating adaptability and self-management. The diversity of applications tested (e.g., AI ScriptBuddy, Salesforce, telecommunication products) suggests a broad exposure to different business domains. The certifications in 'Manual and automation testing' and 'AI for Everyone' show a proactive approach to learning and skill development, aligning with a culture of continuous improvement. However, the lack of specific project details beyond job descriptions makes it difficult to fully assess collaboration and initiative in diverse team settings.
Soft Skills & Operational Fit
The candidate's resume highlights proactive risk identification and collaboration with cross-functional teams, suggesting a good operational fit for Agile environments. Experience in managing the full defect lifecycle in Jira indicates strong organizational and communication skills within a QA context. The ability to validate non-deterministic outputs in AI/LLM applications points to a methodical and analytical approach to complex problems.