Arsalan khan

I’m a results-driven QA Engineer with 2+ years of experience in quality assurance, technical support, and network operations across telecom and AI-driven platforms. I focus on identifying, reproducing, and triaging defects in complex distributed systems so releases stay stable and dependable.

At Nokia, I investigate and reproduce customer-reported defects in telecom infrastructure, reducing mean time to resolution (MTTR) by ~25% through structured root-cause analysis. I validate fixes and run regression checks across network nodes before production deployment, supporting zero-defect releases for high-priority escalations.

Previously at TNSS Global, I performed functional and regression testing on system updates and new feature deployments, catching 30+ critical bugs prior to production release. I also troubleshoot multi-layered system failures using log analysis and diagnostic tools, improving escalation outcomes by identifying recurring patterns and documenting workarounds.

Over 2+ years with Weltra.ai, I contributed to operational QA for an AI-powered platform—validating AI outputs for accuracy and consistency, flagging regressions and edge cases, and testing integrations and APIs for correctness, performance, and data integrity. I collaborate closely with cross-functional teams in fast-paced, high-stakes environments to improve reliability, performance, and scalability.