- Engineered 100+ automated test scripts across Web, API, and Mobile (Android/iOS) — reduced manual regression effort by ~45%
- Built end-to-end CI/CD pipelines on Jenkins & Azure DevOps integrating automated regression suites for continuous QA delivery
- Developed Python data quality pipelines validating 25+ tables across 5 databases — automating ETL integrity checks and reducing data defect leakage
- Executed API testing across 70+ scenarios using Postman, Bruno, and SoapUI — catching critical issues pre-release
- Implemented WCAG 2.1 accessibility audits (automated + manual) ensuring international compliance standards
- Leveraged Azure Data Factory & Databricks to validate and monitor cloud data pipelines end-to-end
- Contributed to in-house AI test optimisation tool — OpenAI API + Python ML heuristics predicting failure patterns & detecting flaky tests
PRATHAM VATS.
I build automation frameworks that catch bugs before production — across Web, API, Mobile & Data, with Python and AI.
Who I Am
Pratham Vats — Software Engineer & SDET at Gen Z Solutions, Pune. I ship production-grade automation across Web, API, Mobile, and Data pipelines — not record-and-playback scripts.
- 100+ automated test scripts — Selenium, Playwright, Appium across Web & Mobile (Android/iOS)
- 70+ API scenarios validated via Postman, Bruno, SoapUI; CI/CD on Jenkins & Azure DevOps
- 25+ database tables validated across 5 DBs — automated ETL checks, schema & null integrity
- AI-assisted test tooling using OpenAI API + Python ML heuristics to predict test failures & surface flaky tests
- WCAG 2.1 accessibility audits — automated + manual compliance for global standards
- ISTQB CTFL certified · B.Tech CS, GGSIPU Delhi · 8.6 CGPA
Why Hire Me
Skills & Arsenal
Experience
GitHub Activity
Selected Work
CI/CD Data Quality & Regression Pipeline
Production ETL validation at Gen Z Solutions — automated schema, null, and FK integrity checks across 5 databases, running in scheduled Azure DevOps pipelines.
- 25+ tables · null, schema, FK integrity checks
- Azure DevOps CI — scheduled regression triggers
- Azure Data Factory + Databricks cloud validation
- Eliminated manual DB audit effort entirely
AI-Powered Test Optimisation Engine
In-house tool using OpenAI API + Python ML heuristics to surface flaky test root causes and predict failure patterns from historical execution logs — saving debugging hours per sprint.
- OpenAI API + ML heuristics for failure prediction
- EDA on historical test execution log data
- Flaky test root cause surfacing with QA insights
- Jenkins pipeline integration — runs post-suite
Self-Healing Web Automation Framework
Selenium 4 + TestNG + Cucumber BDD with a 6-fallback SmartElement engine that auto-recovers broken locators — no manual locator fixes, no flaky failures.
- 6-chain: data-test → id → name → CSS → aria → XPath
- ThreadLocal DriverFactory — thread-safe parallel runs
- 16 BDD scenarios · Allure + ExtentReports
- Headless CI on GitHub Actions
API + DB Testing Framework
End-to-end testing with a fluent ResponseValidator chain, Docker PostgreSQL auto-seed, JSON Schema contracts, and API↔DB consistency validation.
- 54 tests: Users API + Posts API + DB quality + integration
- Fluent chain — see all failures in one run, not one at a time
- Docker Compose · seeded PostgreSQL in one command
- Ruff + Black + MyPy quality gates in CI
Appium Mobile Automation Framework
Scalable Appium + Java + TestNG framework with capability factory that switches Android/iOS targets from config alone — gesture handling, POM, and GitHub Actions CI.
- Capability factory — one config, two platforms
- Custom DriverManager with session lifecycle control
- Gesture handling — swipe, scroll, tap, long press
- GitHub Actions CI with emulator support
Education & Certs
GGSIPU, Delhi
Let's Talk
that doesn't break.
Open to SDET · Automation · Python · AI/ML roles. Based in Pune — open to remote and relocation. I reply within 24 hours.
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In Their Words
Pratham doesn't just write test scripts — he thinks about the entire quality ecosystem. The self-healing framework he built cut our flaky test rate dramatically and required almost no maintenance from the team.
The data quality pipeline Pratham shipped is one of the most solid pieces of infrastructure we have. Schema validation, null checks, FK integrity — all automated. Runs every night without anyone babysitting it.