Anshul Ahuja

Engineering Manager @Shipsy

South Delhi, DL, IN
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Feb 2026 — Present

Engineering Manager @Shipsy

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Gurugram, IN

EDUCATION

1993 — 2006

Laxman Public School

High School, Mathematics and Computer Science

N/A

International Institute of Information Technology Bangalore

post graduate diploma, Artificial Intelligence

2006 — 2010

Lingayas Institute of Management & Technology

Bachelor's Degree, Information Technology

SKILLS

SeleniumManual TestingMicrosoft Sql ServerMqcOracle 9iUnixMicrosoft Test ManagerCore JavaPl/SqlJavaSqlTestingJunitRequirements AnalysisQuality AssuranceSelenium WebdriverTestngCucumberPuttyPoiPeopleRestful WebservicesRest Assured

ABOUT ANSHUL AHUJA

Engineering Leader and Quality Engineering Head with 14+ years of experience building and scaling QA organizations for B2B, B2C, FinTech, and gaming platforms. Currently an Engineering Manager at Zupee, leading quality strategy for high-scale, consumer-facing systems.I specialize in owning quality end to end—defining QA roadmaps, scaling automation at an org level, and partnering with product and engineering leadership to deliver with speed and confidence. I’ve built QA teams from scratch, led 15+ engineers across multiple teams, and driven measurable improvements in efficiency, reliability, and release quality.I’m deeply hands-on with automation platforms, CI/CD, performance engineering, and AI-driven QA across web, mobile, and backend systems. My current focus is on building AI agents across the software testing lifecycle—incorporating self-healing automation, intelligent failure analysis, and no-code/low-code automation frameworks to automate pipelines, reduce maintenance overhead, and enable lean, high-impact quality teams.I believe quality is not a checkpoint, but a strategic engineering function that scales through automation, intelligence, and strong engineering practices—especially in an AI-first world.Always open to conversations around Quality Engineering leadership, AI-powered automation, self-healing systems, no-code/low-code testing, and building reliable software at scale.

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