Anmol .

QA Engineer

Greater Delhi, India2 yrs 5 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Delivered AI-powered QA infrastructure across telecom SaaS platforms.
Achieved 70% reduction in manual testing effort.
Built self-healing Appium framework with 60% flakiness reduction.

Stackforce AI infers this person is a SaaS-focused QA Engineer with expertise in AI-augmented testing.

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Skills

Core Skills

Test AutomationCi/cd

Other Skills

SeleniumAppiumPlaywrightPython AutomationAI AgentsBrowserStackPrompt EngineeringAI SecurityOpenAI CodexModel Context Protocol (MCP)Agentic AutomationGen AIJavaScriptProgrammingComputer Science

About

I'm a QA Engineer who treats quality as a systems problem, not a checklist. Over the last 2.5 years I've shipped AI-powered QA infrastructure across telecom SaaS platforms — multi-model self-healing locator frameworks, Gemini multimodal pipelines that turn video JIRA tickets into reproduction steps in 5 minutes, Codex-driven parallel automation orchestrators, RCA agents deployed on Slack, and autonomous smoke pipelines that run prod validation with zero human intervention. The short version: if a manual workflow exists in my team, I'm already thinking about how to kill it. What I work with: → Playwright (TypeScript) — daily driver for web automation → Appium — iOS (parallel execution) + Android at scale → AI tooling — Gemini, Codex, ChatGPT Enterprise, MCP integrations, Browser Use → CI/CD — GitHub Actions (self-hosted runners), Jenkins → BrowserStack, Reflect.run, MITM hooks, Mailosaur, Postgres What I've delivered: → 3 days → 1 day weekly regression (500+ test cases, Playwright TS) → 70% reduction in manual testing effort → ≤2 defects/release post-production (down from 5 at LTTS) → Caught a live CMS infra failure in production before client impact → Built a self-healing Appium framework — multi-model architecture, ~60% flakiness reduction Previously led a 4-engineer QA stream at LTTS for T-Mobile's e-commerce platform, owning web, iOS, and Android automation end-to-end. I write about AI in QA on Medium. If you're building an AI-first product and need someone who thinks about quality at the system level — let's talk.

Experience

2 yrs 5 mos

Total Experience

1 yr 8 mos

Average Tenure

9 mos

Current Experience

Lotusflare

QA Engineer

Sep 2025 – Present · 9 mos · Pune, Maharashtra, India · Hybrid

L&t technology services

2 roles

QA Automation Engineer

Promoted

Apr 2025 – Sep 2025 · 5 mos · Bengaluru, Karnataka, India

Led UI automation framework development using Selenium, Appium, and Playwright (Java), increasing regression coverage by 40% and reducing manual testing effort by 70%.
Collaborated with telecom client T-Mobile to automate end-to-end regression suites, ensuring 99% environment parity on cloud test beds.
Executed manual API smoke tests in Postman, documenting endpoints, request/response validations and expected behaviors.
Configured Jenkins jobs to trigger UI and API automation on merge events, integrated test reports and logs for nightly CI runs.
Utilized BrowserStack to perform cross-browser and mobile-device compatibility testing across 10+ browser-OS combinations.
Participated in requirement reviews and system specification analysis; authored comprehensive test strategies and detailed test plans.
Logged and triaged defects in Jira, collaborated with developers on root-cause analysis, improving defect turnaround by 15%.
AI-Enhanced Testing POC: Developed Python scripts leveraging simple heuristics and the Faker library to generate 5,000+ synthetic test records, uncovering 12 new edge-case defects.
Migrated 30+ systems to AWS and GCP, provisioning scalable environments for both development and QA teams.
Managed virtualization platforms (XenServer, VMware) to spin up and maintain test beds for automation frameworks.
Mentored a team of 6 engineers on scripting, debugging and best practices for automation workflows, improving team productivity by 25%.
Configured network connectivity modules, BIOS/GRUB setups and OS installations, streamlining environment provisioning from days to hours.
Monitored infrastructure health using Grafana dashboards and implemented automated alerts for critical incidents.

SeleniumAppiumPlaywrightPython AutomationAI AgentsBrowserStack+2

Associate Automation Engineer

Dec 2023 – Mar 2025 · 1 yr 3 mos · Bengaluru, Karnataka, India

Awarded with "Rising Star Award" of 2024-25
Client - T-Mobile
Test Automation: Developed and maintained UI automation test cases using Selenium, Appium, and Playwright, improving testing efficiency by 30%.
Locator Strategy Optimization: Enhanced automation frameworks with advanced locator strategies (XPath, CSS, etc.) to ensure robustness across dynamic applications.
End-to-End Product Support: Contributed to automation pipelines for in-house products and participated in client-facing meetings to align deliverables with requirements.
Infrastructure Setup: Spearheaded the setup of a local server with remote accessibility, resolving technical bottlenecks and ensuring seamless testing environments.
Problem Solving: Proactively identified edge cases and collaborated with cross-functional teams to refine product quality and user experience.

SeleniumAppiumPlaywrightTest Automation