ARUN KATHI

Lead Quality Engineering strategy and automation initiatives across UI, API, Data, Performance & enterprise platforms.
Architected an AI-powered Agentic Test Automation Framework leveraging Playwright, Python, MCP, Planner, Executor,
and Healer agents to enable intelligent test generation, execution, and self-healing capabilities.
Designed and implemented end-to-end AI workflows using n8n, AWS Bedrock, Prompt Engineering, Vector Databases
(Pinecone), Titan Embeddings, and Retrieval-Augmented Generation (RAG) architectures. Implemented AI Guardrails and
governance controls within AWS Bedrock to ensure secure, compliant, and enterprise-ready AI solutions.
Built NOVA - Unified Automation Platform integrating test generation, migration validation, feed validation, Databricks
validation, reporting, dashboards, and quality analytics.
Established scalable Data Quality Engineering frameworks using PySpark and Great Expectations
Led automation modernization initiatives that reduced maintenance effort, improved execution reliability, and accelerated
release cycles through AI-powered quality engineering practices.

Defined and led the QA vision by architecting and implementing scalable Python-based automation frameworks across
UI(Playwright), API, Data, and Performance layers, enabling 100% test coverage and faster release cycles.
Managed and mentored a team of SDETs, fostering a culture of engineering excellence, ownership, continuous learning.
Designed data validation pipelines using Great Expectations and Apache Spark, significantly improving data quality across
GCP and Cloudera-based cloud data lakes.
Drove DevOps maturity by introducing test gates, Dockerized automation workflows, and integrated observability
dashboards—resulting in a 35% reduction in production defects.
Developed UI & API test automation using Playwright and Selenium; integrated with CI/CD pipelines (Jenkins, Docker,
GitHub) for seamless test orchestration and continuous quality validation.
Established performance engineering practices using JMeter and REST-based benchmarking, leading to a 30%
improvement in system responsiveness.
Enabled quality governance by implementing automated quality gates, traceability workflows, and dashboards in Power BI
and Dash Plotly for test health monitoring and stakeholder reporting.