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Pratyush Singh

@pratyushsingh

QA Automation Engineer building Cypress API test frameworks to prevent production defects and speed Agile release testing.

India
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What I'm looking for

I’m looking for a QA automation role in an Agile team where I can build Cypress API test frameworks, partner with developers and product owners, and prevent production defects through strong regression coverage.

I’m a QA Automation Engineer with 1 year of experience at S&P Global’s Private Equity division, focused on building reliable test coverage that catches critical production defects. I build from scratch—translating real product behaviors into maintainable automation.

I built two enterprise Cypress-based API testing frameworks: a role-based framework covering 100+ endpoint-permission combinations across the Private Equity platform, and a client-facing framework validating financial data endpoints used by institutional enterprise clients. I design tests for authentication flows, payload validation, schema checks, error handling, and data accuracy assertions.

I’m skilled across regression, smoke, functional, and integration testing in Agile 2-week sprint cycles. I work closely with product owners and developers to define test plans, test cases, and acceptance criteria—then run and refine both manual and automated checks to reduce risk and effort in release sprints.

Beyond QA, I publish ML research and have built a Predictive Health Monitoring & Dietary Guidance System that trained and compared multiple models and integrated the best one into a live Android app with real-time predictions. That same analytical mindset drives my approach to problem solving, debugging, and improving test strategy.

Experience

Work history, roles, and key accomplishments

S&P Global logoSG
Current

QA Automation Engineer

Jun 2025 - Present (11 months)

Built role-based Cypress API test framework covering 100+ endpoint-permission combinations and validated access control across user tiers. Developed an external client-facing API framework for financial data endpoints, improved regression reliability by catching critical production defects, and reduced manual regression effort during release sprints.

Education

Degrees, certifications, and relevant coursework

Lovely Professional University logoLU

Lovely Professional University

Bachelor of Technology, Computer Science & Engineering

2021 - 2025

Grade: CGPA: 8.1 / 10

B.Tech in Computer Science & Engineering with a CGPA of 8.1/10.

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