Quality engineering as a discipline — not a department.

Led the QA function at a Deep-Tech sensing and monitoring platform serving critical infrastructure — a hands-on technical leader managing a team across manual testing, automation, backend validation, and integration coverage. Managed and mentored 3 QA engineers and built a full-stack automation program from scratch: 300+ automated tests across critical release paths, with CI/CD quality gates in GitHub Actions. Owned quality coverage for customer-facing UI, dashboards, and real-time simulations, and validated backend APIs, workflows, load, and performance. Integrated AI-assisted workflows for failure diagnostics and coverage-gap detection — reducing manual investigation effort and accelerating defect triage. Reported to the R&D Group Manager; partnered with Engineering, Product, and DevOps.

• Deep-Tech · Critical Infrastructure
• 300+ Automated Tests
• GitHub Actions CI/CD
• AI-Assisted Diagnostics

Established the QA function from the ground up as part of the leadership team — built and mentored the QA team across field validation, integration, and automation, with weekly 1:1s and execution routines that kept QA in sync with hardware and software cycles. Expanded test coverage into previously untested feature areas and embedded a dev → test → approval → release pipeline that raised delivery quality and customer satisfaction. Partnered with R&D, Hardware, Product, DevOps, and Field Support leadership to prioritize risks, align release scope, and resolve production issues — embedding QA into planning, not just cleanup. Designed release governance (DoR/DoD, risk-based planning, go/no-go protocols), accelerating delivery cadence from monthly to bi-weekly and doubling delivery throughput. Reduced regression cycle time from ~4 business days to ~6 hours by scaling regression and enforcing readiness gates in Jira/Xray, while enabling hotfix turnaround in under one hour across 100+ deployed sensors — supported by weekly KPI dashboards (cycle time, escape rate, MTTR) presented to the VP of R&D and C-level for go/no-go decisions.

• IoT & Digital Twin SaaS
• Private LTE/5G
• Release Governance
• KPI Dashboards

Matrix-managed an offshore QA chapter of 6 engineers across 3 cross-functional squads in multiple countries, using weekly 1:1s, mentoring pairs, QA syncs, and transparent delivery dashboards — achieving zero attrition and multiple internal promotions during tenure. Owned release governance end-to-end, achieving 99% Xray requirements coverage and reducing production escape rate by ~35% within 8 months. Streamlined delivery coordination with Development and Product, reducing delivery cycle time by ~20%, and implemented BDD and DoR/DoD quality gates across squads — improving acceptance-criteria clarity and reducing sprint rework.

• 50M+ Users FinTech
• Offshore QA Chapter
• Jira/Xray
• BDD

Led QA operations and cross-functional validation activities as a technical leader for distributed billing microservices (Java/Spring Boot, Oracle, Kafka) — coordinating with developers, architects, and product stakeholders to improve integration quality and release confidence. Led a cross-team API investigation that contributed to a ~20% reduction in API response times across multiple releases. Championed TDD/BDD adoption across engineering teams, strengthening acceptance criteria and regression discipline.

• Telecom Billing
• Java/Spring Boot · Oracle · Kafka
• API Microservices
• TDD/BDD

Enterprise Wi-Fi infrastructure validation. Performance and stability improvements via Wireshark-based protocol analysis.

• Wi-Fi
• Wireshark

Cloud-based telecom/NFV components. API and integration testing. ~20% faster release cadence.

• Telecom
• NFV
• API

End-to-end QA for the "Serenity" alert system: planning, execution, regression. Validated RF wireless sensors with cloud/mobile integration. LoadRunner-based performance testing and Jira-based defect discipline.

• Security Systems
• RF/Wireless
• LoadRunner