Aditya Sharma
Test Automation Architect · 13 years experience
Pune, Maharashtra
[Your email] · [Your phone]
[Your LinkedIn URL] · [Your GitHub / Portfolio URL]
Professional Summary
- Thirteen-year automation engineering veteran who architects AI-native, self-healing test automation frameworks now adopted by 200+ developers across enterprise product teams
- Architected the company's enterprise test platform handling 85,000 automated test executions daily with a 99.2% flake-free reliability rate on cloud Kubernetes infrastructure
- Pioneered AI-augmented test generation using GitHub Copilot and LLM APIs, reducing test authoring time by 75% across 8 product squads without compromising coverage quality
- Designed MCP-integrated test orchestration gateway enabling Claude Desktop to trigger Playwright runs, query results, and receive AI-generated failure analysis in natural language
- Built a patent-pending self-healing element locator engine using DOM tree analysis, CSS fallback chains, and Applitools AI Vision, eliminating 92% of selector-related test failures
- Led migration of 40,000 legacy Selenium tests to Playwright with zero-downtime dual-run validation strategy completed in 6 months with no production incidents
- Expert in k6 for cloud-native performance testing, OpenTelemetry for test observability, and containerized distributed test execution at scale on Kubernetes
- Certified Playwright Architect and AWS Solutions Architect Professional with deep expertise in distributed systems, CI/CD pipeline design, and test infrastructure automation
Work Experience
Test Automation Architect
[Company name] · [Start date – End date]
13 years in test automation progressing from Selenium WebDriver implementations to architecting AI-native enterprise test platforms. For the last 4 years, serving as Test Automation Architect at a Series-E fintech company responsible for the full test infrastructure strategy. Led a team of 8 senior SDETs. Managed test platform budget of Rs. 1.2Cr annually including cloud infrastructure, SaaS tool licensing, and team operations.
Responsibilities
- Define enterprise-wide test automation architecture standards, design patterns, and framework selection criteria
- Design and maintain CI/CD test infrastructure running on Kubernetes clusters and AWS ECS for scalable execution
- Lead technical evaluation and adoption of AI-native testing tools including GitHub Copilot and self-healing frameworks
- Architect MCP-based test orchestration integrations for AI-driven test management and conversational test analysis
- Set technical direction for tooling strategy, automation ROI measurement, and platform evolution roadmap
- Mentor senior SDETs and lead weekly Automation Guild knowledge-sharing sessions across all engineering teams
- Own test infrastructure budget, vendor contract negotiations, and license optimization for the test platform
- Define automation quality KPIs: flake rate targets, execution speed SLAs, coverage delta thresholds, MTTD goals
- Review and approve all automation pull requests for framework-level architecture changes and pattern compliance
- Partner with DevOps on shift-left testing, containerized test execution strategies, and pipeline optimization
- Research and prototype emerging AI testing technologies including agentic test generation and MCP integrations
- Represent QA engineering in architecture review boards for all new product features and platform decisions
Project Experience
AI-Native Test Automation Platform
Architected a next-generation test platform combining Playwright, GitHub Copilot integration, OpenTelemetry observability, and self-healing locators with auto-generated test stubs and real-time execution dashboards. Technologies: Playwright, TypeScript, GitHub Copilot, OpenTelemetry, Kubernetes, Allure, Grafana.
Self-Healing Locator Engine
Built a patent-pending self-healing element locator using DOM tree change detection, CSS selector fallback chains, and Applitools AI Visual Analysis, reducing selector-related failures by 92% across 40,000 tests. Technologies: Python, TypeScript, Applitools Eyes, Playwright, Computer Vision, DOM Analysis.
MCP Test Orchestration Bridge
Designed an MCP server enabling Claude Desktop to trigger Playwright test suites, query real-time execution status, and receive LLM-generated root cause analysis for failures through natural language conversation. Technologies: MCP Protocol, TypeScript, Claude API, Playwright, JSON-RPC 2.0.
Legacy Selenium to Playwright Migration
Led end-to-end migration of 40,000 Selenium tests to Playwright using dual-run validation strategy ensuring zero functional regressions with 3x faster execution and 95% reduction in flakiness. Technologies: Playwright, Selenium, Java, Python, GitHub Actions, Docker, Dual-Run Framework.
Technical Skills
Education
B.E. Computer Engineering – BITS Pilani, 2011; Advanced Certificate in Cloud Architecture – AWS re/Start, 2021
Certifications
Playwright Certified Architect (Microsoft); AWS Solutions Architect – Professional; Certified Kubernetes Administrator (CKA); ISTQB Certified Test Automation Engineer (CTAL-TAE); GitHub Copilot Enterprise Architect; k6 Certified Performance Engineer
Achievements
Created TestGenAI open-source library with 800+ GitHub stars and community adoption; Filed patent application for self-healing locator engine technology; Reduced nightly regression time from 3.5 hours to 22 minutes; Won Engineering Excellence Award 2023; Speaker at PaLM India Conference on AI-native test automation; Automation Guild program adopted as org-wide knowledge sharing model