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QA Automation Engineer with 4+ years in Test Automation, CI/CD, and Performance Testing
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QA / SDET Automation Engineer with 4 years of experience building scalable test automation solutions for high-traffic, distributed microservices architectures across complex enterprise platforms. Proficient in Selenium, Java, TestNG, REST Assured with deep CI/CD integration (Jenkins, Harness, GitHub Actions) and performance validation using JMeter. Proven track record of reducing regression cycles and embedding quality early in the SDLC. Actively applying Generative AI tools (Cursor AI, Amazon Q, Copilot) to accelerate test development and QA workflow optimization.
Jain University
MBA · Banking & Finance
N/A – Present
Infosys Ltd (Client: NAB)
SDET/QA Automation Engineer
February 1, 2022 – Present
Mysore, Karnataka, India
E2E QA Automation Framework (UI + API + DB)
June 28, 2026 – Present
Production-grade hybrid framework from scratch using Java, Selenium, TestNG, REST Assured with POM, Singleton patterns — reduced regression by ~90%. Integrated with Jenkins, GitHub Actions, AWS EC2 for CI/CD-based execution and automated quality gates.
View ProjectAI-Powered ATS Job Screener
June 28, 2026 – Present
Built two-tier resume matching system (Gemini API + Airtable) processing 100+ JDs with dedup, agency filter, seniority filter, and automated tailored resume generation. Automated PDF job alert parser using Gemini API — filters by skill match, seniority, and domain relevance with zero manual review
View ProjectCultural Fit Analysis
The candidate's experience across diverse technologies (Java, Selenium, REST Assured, JMeter, Docker, various CI/CD tools) and their involvement in both professional and personal projects (E2E QA Automation Framework, AI-Powered ATS Job Screener) indicate a broad skill set and a proactive learning attitude. Their role at Infosys Ltd (Client: NAB) suggests experience in a large enterprise environment, which typically involves structured processes and team collaboration. The personal project involving AI for resume screening also highlights an interest in leveraging new technologies and an innovative mindset, which would be a good cultural fit for a forward-thinking organization. The MBA background, while not directly technical, suggests a broader business understanding and strategic thinking capacity.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through their experience in Agile methodologies, CI/CD integration, and collaboration with cross-functional teams. Their use of AI tools for scenario generation and defect analysis indicates a proactive and innovative approach to problem-solving. The detailed descriptions of impact (e.g., 99% release stability, 90% regression reduction) suggest a results-oriented mindset. The candidate's experience with Dockerized environments and performance testing aligns well with modern DevOps practices.