Help & Supportcareers@gravityer.com
QA Automation Engineer with 10+ years in AI & Data Quality Engineering
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior SDET and QA Automation Architect with 11+ years of experience building scalable test automation frameworks across UI, API, and data layers for enterprise SaaS, CRM, and Business Intelligence platforms. Expert in Al-driven test automation using LLM, RAG, and GenAl techniques – including next-generation browser automation via Playwright MCP for intelligent test generation, validation, and failure analysis. Proven track record: improved regression efficiency by 60%, eliminated 100% of manual API testing, and reduced manual effort by 70–90% across engagements. Deep expertise in ETL validation, predictive analytics, microservices testing, and BI quality engineering – ensuring data accuracy across dashboards, pipelines, and forecasting models.
Purdue University
Post Graduate Program · Data Science
N/A – June 30, 2021
Vidya Vikas Institute of Engineering and Technology
B.E. · Electrical & Electronics Engineering
N/A – June 30, 2013
Oracle India Pvt Ltd
Senior Member of Technical Staff (SDET)
May 1, 2021 – Present
India
Algonomy
QA Analyst
June 1, 2017 – April 1, 2021
India
Collabera (Cisco Project)
Senior Test Engineer
September 1, 2016 – June 1, 2017
India
Moolya Software Testing Pvt Ltd
Software Tester
January 1, 2015 – August 1, 2016
India
Accenture
Associate Software Engineer
January 1, 2014 – December 1, 2014
India
BI Quality Engineering & AI Validation Frameworks
June 25, 2026 – Present
Built an AI-assisted validation layer (LLM + Playwright MCP) that consumes test metrics, input datasets, and data dependencies to generate actionable insights – not just defect detection. Designed scenarios simulating business-level impact of data issues (KPI mismatches, aggregation errors, delayed pipelines, cross-source inconsistencies). Developed reusable validation patterns shifting testing from verification to insight generation, applicable across analytics, CRM, and data-driven ecosystems. Leveraged LLM techniques to suggest optimization strategies for underperforming segments based on historical data and validation outputs. Stack: Python, Playwright MCP, Claude API, SQL, Pandas, Tableau.
View ProjectCultural Fit Analysis
The candidate demonstrates a strong cultural fit for a dynamic, tech-forward environment, particularly one focused on innovation in QA. Their work on AI-driven validation frameworks and migration of legacy systems to modern tools (Selenium to Playwright) shows adaptability and a drive for continuous improvement. The diversity of projects across SaaS, CRM, and BI platforms, coupled with experience in Agile/Scrum, indicates a collaborative and versatile professional.
Soft Skills & Operational Fit
The candidate's resume highlights strong problem-solving skills through their work on AI-assisted validation frameworks and complex test strategy definitions. Their experience in leading DevOps activities and collaborating with clients indicates good operational fit and teamwork capabilities. The focus on 'insight generation' over 'defect detection' suggests a proactive and strategic approach to quality.