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AI Automation Engineer with 6+ years in Python, Agentic AI & 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 31, 2025
Bengaluru, Karnataka, India
Amazon Development Center
Risk Analyst
January 1, 2016 – September 30, 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.
Automated workflows into CI/CD pipelines
June 18, 2026 – Present
Integrated automated workflows into CI/CD pipelines for continuous execution and monitoring.
Reusable Python components
June 18, 2026 – Present
Designed reusable Python components for data extraction, processing, validation, and reporting.
Cultural Fit Analysis
The candidate has worked for large, reputable companies (Capgemini, HCL, Amazon) and on client projects (Google, Ford), indicating adaptability to diverse corporate cultures. The breadth of skills across Python, AI frameworks, automation tools, and CI/CD suggests a proactive learning attitude. The transition from QA Engineer to Consultant B2 with a focus on AI automation shows career progression and alignment with modern technical trends. However, the lack of diverse project types beyond automation and QA might limit exposure to broader software development lifecycle aspects.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight collaboration with engineering teams, improving operational efficiency, and mentoring, indicating good potential for teamwork and operational fit. The project descriptions are clear and concise, suggesting effective communication skills in a professional context.