Leading AI-augmented testing and quality assurance for PayPal's Global Pay Later and Revolving Credit Card services across 7 international markets (US, UK, Germany, France, Italy, Spain, Australia).

🤖 AI/LLM TESTING INNOVATION

Architected Production AI Testing Systems:

• Built end-to-end pipeline using Claude API & LangChain to auto-generate Python-based unit/integration tests from requirements

• Generates 200+ production tests monthly with 90% accuracy

• Reduced test authoring time by 75%

• First LLM-powered QA system at PayPal

Self-Healing Test Framework (Patent-Pending Approach):

• Developed AI-powered test maintenance agent using Claude API

• Automatically detects UI/API schema changes and injects fixes into CI/CD pipeline

• 85% accuracy in root cause diagnosis (locator changes, timing issues, API modifications)

• Reduced maintenance overhead by 60%, eliminated 40% of manual interventions

AI-Driven Log Analysis:

• Built LangChain-powered system processing thousands of test execution logs

• Categorizes failures using AI classification, generates actionable insights

Impact: Methodology adopted across 3 product teams; trained 25+ engineers; saved 500+ hours quarterly

💰 FINTECH TESTING EXPERTISE

Complex Financial Flow Validation:

• Tested multi-party payments, ledger reconciliation, and automated invoicing across distributed microservices

• Mathematical accuracy to the penny for millions of daily transactions

Product Launches:

• Led testing for 3 major credit card launches (Venmo CC, PayPal Cashback Mastercard, PayPal CC)

• Zero critical production defects achieved across all launches

Microservices API Testing:

• Comprehensive Python test suite for REST and gRPC microservices

• Uses requests, grpc-testing, asyncio for asynchronous validation

Tech Stack: Python (pytest, asyncio, requests, Pandas), Claude API, OpenAI GPT-4, LangChain, Jenkins, GitHub Actions, Argo, Docker, Kubernetes, Terraform, Playwright, Cypress, XCUITest, Harness, Postman, Locust

Led test automation for safety-critical Positive Train Control (PTC) railway system—mission-critical application preventing train collisions across North American rail network.

• Built comprehensive pytest-based test automation framework from scratch

• Automated 300+ critical safety scenarios, achieved 95% regression coverage

• Reduced manual testing workload by 70% through intelligent automation strategy

• Integrated with Jenkins CI/CD pipelines for continuous testing

• Established quality gates for safety-critical deployments

Technologies: Python (pytest, unittest), Cypress, JavaScript, Jenkins, Postman, SQL, HP ALM

• Developed Python data migration tools and validation scripts for enterprise customer migration

• Built ETL pipelines using Python, SQL, and PL/SQL for cross-system data transformation

• Created automated testing harness for migration validation

Technologies: Python, JavaScript, HTML5, CSS3, Spring Framework, SQL

Cloudera Certified Administrator for Apache Hadoop (CCAH) (CDH version-5)