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AI Automation Engineer with 6+ years in Python, Agentic AI, and CI/CD.
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 and QA Automation Engineer with 6+ years of experience in Python development, test automation, API integrations, CI/CD, and enterprise-scale application quality engineering. Strong backend-oriented engineering background with hands-on experience building automation solutions, workflow orchestration, API-driven systems, and AI-agent projects using LangChain/LangGraph concepts. Experienced in collaborating across engineering teams, integrating cloud-based services, and delivering scalable solutions.
KSIT, VTU, Bangalore
Bachelor of Engineering (B.E.)
N/A – Present
Capgemini Pvt Ltd
Consultant B2 (Client: Google)
November 1, 2025 – Present
Bengaluru, Karnataka, India
HCL Technologies
QA Engineer (Client: Ford Motor Company)
February 1, 2022 – January 1, 2025
Bengaluru, Karnataka, India
Amazon Development Center
Risk Analyst
January 1, 2016 – September 1, 2019
Bengaluru, Karnataka, India
Python-based automation solutions
June 18, 2026 – Present
Built Python-based automation solutions for workflow orchestration, log analysis, and issue triage.
AI-assisted automation utilities
June 18, 2026 – Present
Developed AI-assisted automation utilities leveraging LLM APIs, prompt engineering, and agent workflow concepts.
Reusable Python components
June 18, 2026 – Present
Designed reusable Python components for data extraction, processing, validation, and reporting.
Automated workflows into CI/CD pipelines
June 18, 2026 – Present
Integrated automated workflows into CI/CD pipelines for continuous execution and monitoring.
Cultural Fit Analysis
The candidate's project diversity, ranging from Python-based automation to AI-assisted utilities and CI/CD integration, indicates adaptability. The experience across Capgemini, HCL, and Amazon, with client-facing roles, suggests an ability to integrate into various organizational cultures. The focus on automation and AI aligns well with the target role, demonstrating a proactive approach to modern engineering challenges.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight collaboration with engineering teams, mentoring, and improving operational efficiency, suggesting good soft skills and operational fit. The role as a Consultant B2 at Capgemini (Client: Google) further indicates an ability to work in demanding client-facing environments.