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SDET with 4+ years in test automation, CI/CD, and GenAI-driven quality engineering
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Assessing your cultural and operational fit
SDET with 4.4+ years of experience in test automation, CI/CD, and GenAl-driven quality engineering. Skilled in Python, TypeScript, Robot Framework, Jenkins, and Kubernetes, building scalable automation frameworks and Al-powered testing solutions. Hands-on experience in LLM-based test plan generation, BDD/test script generation, self-healing automation, automated RCA, and defect management using Azure OpenAI, LangChain, REST APIs, and microservices. Experienced in Agile delivery, ALM integrations, and improving automation reliability and release efficiency.
Dev Bhoomi Institue of Technology
Bachelor of Computer Application
August 1, 2016 – June 30, 2019
Kendriya Vidyalaya Missamari
Intermediate · science
June 1, 2016 – May 31, 2016
Kendriya Vidyalaya Missamari
Matriculation
June 1, 2014 – May 31, 2014
Infosys
Systems Engineer (GenAI & Automation)
July 1, 2025 – Present
India
Infosys
Senior System Associate (Automation Engineer)
March 1, 2022 – June 1, 2025
India
Microsoft Certified: Azure Data Fundamentals
Microsoft
June 1, 2026 – Present
Microsoft Certified: Azure AI Fundamentals
Microsoft
June 1, 2026 – Present
Microsoft Certified: Azure Data Scientist Associate
Microsoft
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience at Infosys, a large IT services company, suggests adaptability to structured environments and diverse project requirements. Their involvement in GenAI and AI-driven testing, along with multiple Azure certifications, indicates a strong interest in emerging technologies and continuous learning, which aligns well with an innovative and forward-thinking culture. The breadth of tools and technologies used demonstrates versatility.
Soft Skills & Operational Fit
The candidate's resume indicates strong problem-solving skills through their work on AI-powered RCA and self-healing automation. Their experience as an escalation point and collaboration in Agile/Scrum teams suggest good teamwork and operational reliability. The detailed project descriptions highlight a proactive approach to improving platform reliability and efficiency.