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QA Automation Engineer with 3+ years in AI-Augmented Testing & FinOps QA.
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Assessing your cultural and operational fit
AI-augmented QA Automation Engineer with 4+ years building enterprise test frameworks for SaaS & FinOps platforms. Expert in Java + Selenium (POМ, BDD); expanding into Python + Playwright for agentic browser testing. Delivered 60% manual QA reduction, 98%+ billing accuracy across AWS/Azure/GCP/OCI, and 54% dashboard performance gain. Targeting Senior QA Architect via LLM-assisted test generation & GenAl-powered CI/CD pipelines.
Hindustan University, Chennai
B.Tech · Computer Science & Engg.
N/A – June 30, 2022
Infolob Global Inc.
Software Engineer – QA Automation
October 1, 2023 – Present
Hyderābād, Telangana, India
Heeddata India Pvt. Ltd.
FinOps Platform
October 1, 2023 – July 1, 2025
India
Innojc Technologies Pvt Ltd.
Software Engineer - QA
October 1, 2022 – September 1, 2023
Hyderābād, Telangana, India
OCI GenAI Professional
Oracle University
May 1, 2026 – Present
Intro to Finops
FinOps Foundation
May 1, 2026 – Present
Intro to FOCUS
FinOps Foundation
May 1, 2026 – Present
ISTQB Foundation Level
Certified Tester
May 1, 2026 – Present
OCI Foundations Associate
Oracle Cloud
May 1, 2026 – Present
Cultural Fit Analysis
The candidate exhibits a strong cultural fit, particularly for organizations valuing innovation, continuous learning, and specialized domain expertise. Their proactive engagement with AI-augmented testing, FinOps domain knowledge, and exploration of new tools (Playwright, Python) align well with forward-thinking teams. The diversity of project experience (enterprise apps, FinOps platforms, AI agents) and multi-cloud exposure demonstrates adaptability and a broad technical perspective, suggesting they can thrive in dynamic environments.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership in architecting frameworks and leading QA efforts. They exhibit excellent problem-solving skills, evidenced by identifying and resolving backend bottlenecks and designing UI-DB mismatch detection. Their impact-driven approach is clear through quantifiable achievements. The candidate is a proactive and continuous learner, actively exploring new technologies like GenAI, Playwright, and Python. They possess a solid operational fit with experience in Agile sprints, CI/CD integration, and shift-left testing, indicating a modern DevOps-oriented QA mindset.