Avi Chaudhary

Senior SDET / Software Engineer in Test with 7+ years building enterprise quality infrastructure for large-scale, multi-tenant SaaS platforms across subscription billing, CPQ, revenue recognition, and payments. Designs and owns UI and API test automation frameworks (Playwright, Selenium, REST Assured), CI/CD quality gates, and risk-based regression strategy that raise release confidence and reduce production defect escape across business-critical financial systems. Hands-on with GenAI quality engineering — LLM-assisted test generation, prompt regression, LLM output and hallucination evaluation, guardrail and tool-call validation, and AI-assisted root-cause analysis using Cursor, Windsurf, MCP, Glean, and PlayerZero.

Strong foundation in object-oriented design, backend and API contract testing, distributed and microservices architectures, and release governance.

SDET - ZUORA - Bangalore, India

(2025-07)

• Architected and own scalable Playwright-based UI and API automation frameworks validating the enterprise subscription lifecycle across CPQ, Billing, Revenue Recognition, and Payments, covering 5 monetization services and 14 business-critical workflows.
• Built LLM-assisted test-generation and prompt-based regression-expansion workflows that broadened edge-case coverage across pricing logic, billing rules, and revenue-impact scenarios, adding 200+ new test cases and improving regression coverage by 38%.
• Engineered backend quality workflows enforcing API contract integrity, schema correctness, business-rule assertions, and financial-data consistency across monetization microservices.
• Embedded automated quality gates into CI/CD pipelines (Azure DevOps / Jenkins) with defined release-readiness criteria and quality SLOs, reducing defect escape by ~40% and cutting regression execution time from 9 hours to 4.5 hours across cross-functional release trains.
• Operationalized AI-native tooling — Cursor, Windsurf, Glean, MCP, and PlayerZero — for intelligent failure triage, log analysis, and root-cause analysis, reducing average triage time by ~30% and enabling faster issue resolution.
• Applied AI-quality validation to agentic and AI-assisted workflows: non-deterministic output evaluation, hallucination and response-quality checks, tool-call verification, and prompt-injection / RBAC guardrail validation across tenant-isolated environments.

Senior QA Engineer - EPAY SYSTEMS (a Vensure HR company)

(2018-10 - 2025-07)

• Reduced regression cycle time 40% through suite partitioning, intelligent parallelization, and CI-integrated automation pipelines, enabling same-day deployment validation.
• Expanded automated regression coverage 60% via risk-based initiatives across payroll, subscription lifecycle, pricing engines, and enterprise integrations.
• Cut production defect escape rate 40% through layered backend validation, API contract enforcement, and pre-release quality governance.
• Designed and owned reusable UI and API automation frameworks (Playwright, Cypress, Selenium, AccelQ) using object-oriented design and Page Object patterns.
• Automated quality workflows for 100+ APIs covering authentication flows, schema validation, negative-path testing, and workflow integrity.
• Led end-to-end quality engineering for Azure cloud-migration initiatives — test strategy, integration validation, regression certification, and release stabilization.
• Built performance suites in JMeter and NeoLoad to assess scalability under enterprise load profiles; validated OAuth, RBAC, and tenant-isolation boundaries across multi-tenant SaaS.

Bachelor of Technology - B.Tech - Galgotias University (2016)