Mohan Krishna G

Lead end-to-end QA delivery, automation strategy, and quality governance across regulated financial data platforms acting as the senior QA interface to U.S.-based product, architecture, and senior leadership stakeholders. ▪ QA Delivery & Automation Strategy: Lead end-to-end QA delivery across 6+ engineering programmes, setting automation strategy and execution roadmaps; introduced intelligent routing, self-healing automation, and predictive quality signals reducing production defects by 35% and accelerating delivery cycle time. ▪ Shift-Left QA & Test Planning: Drive a shift-left approach by embedding QA in requirements, design, and planning discussions; prepare test estimates, test plans, and QA timelines based on scope, complexity, and delivery commitments across regulated release cycles. ▪ Team Management & Defect Triage: Manage QA teams day-to-day task allocation, progress tracking, blocker resolution, and priority alignment; lead defect management and triage with developers and stakeholders, reducing escaped production defects by 30% YoY. ▪ Quality Governance & Reporting: Established consistent standards for test design, traceability, defect triage, and execution reporting; designed CI/CD quality gates and release-readiness dashboards providing clear risk visibility achieving 25% faster release cycles with zero production regression. ▪ Stakeholder Partnership & Coaching: Partner with CTOs, VPs, and Product leadership to align quality OKRs, SLAs/SLOs, and DORA metrics; coach application and QA teams toward sustainable quality practices and communities of practice, building an AI-ready workforce. ▪ Continuous Improvement: Identify bottlenecks and failure patterns across automation pipelines; drive improvements in automation reliability, maintainability, and execution time using AI-assisted development (Cursor AI, Claude, Codex, Kiro) and Spec-Driven Development (AI-SDLC). ▪ Budgeting & Vendor Management: Own QA budget and capacity forecasting across delivery programmes, achieving 20% QA cost optimisation through tooling rationalisation and automation-first adoption. 35% production defect reduction • 30% YoY escaped-defect reduction • 25% faster release cycles • 20% QA cost optimisation

Led full QA transformation for a data governance SaaS platform building the QA organisation from zero and owning CTO-level stakeholder engagement on release readiness and business value outcomes. ▪ Automation Strategy Build: Built the QA organisation from zero; delivered 60% test automation coverage across core SaaS workflows in 12 months, establishing test design standards, traceability, and risk-based test coverage aligned to TOSCA and Playwright. ▪ Release Readiness & Governance: Reduced deployment failure rate by 35% and moved from monthly to weekly release cadence by introducing CI/CD quality gates, continuous testing pipelines, and structured release-readiness reviews. ▪ QA Reporting & Stakeholder Alignment: Introduced QA governance standards, SLA/SLO ownership, and DORA metrics dashboards; partnered with CTO and Product leadership on QA roadmap and OKRs, improving customer-reported defect rate by 50% and client NPS.

▪ Test Strategy & Coverage: Designed end-to-end QA architecture spanning UI, API, and data validation across cloud-native microservices, ensuring functional, integration, regression, and E2E coverage in a continuous-release environment. ▪ Defect Reduction & Test Efficiency: Reduced test execution time by 50% and escaped defects by 30% by embedding continuous testing into CI/CD pipelines and implementing risk-based test prioritisation. ▪ Coaching & Team Development: Mentored QA engineers in BDD/Cucumber and CI/CD integration; established performance standards and career development pathways for the team.

▪ Delivery & Stakeholder Interface: Led QA architecture and delivery management for large-scale supply chain and retail platforms; served as primary quality interface to U.S.-based senior leadership on release planning and risk management. ▪ Automation Adoption: Reduced manual testing effort by 45% by driving BDD/Cucumber automation framework adoption across programme teams, freeing capacity for risk-based and exploratory testing. ▪ Release Reliability: Improved release reliability via CI/CD quality gates, performance/load testing (JMeter), and testability engineering reviews with development teams.

▪ Team Management: Managed a QA delivery team of 12 engineers across digital transformation programmes; drove CI/CD integration, automation standards, and reduced manual testing effort by 40%. ▪ QA Reporting: Designed executive-level quality dashboards giving senior leadership real-time visibility into delivery health, defect trends, and release readiness.

▪ Delivery Governance: Led QA delivery for mission-critical supply chain platforms; managed offshore QA teams across multi-geo Agile/Scrum programmes, reducing production defect escape rate by 25%.

▪ Career Progression: Progressed from QA Engineer to Principal QA Engineer in 5 years; selected for international relocation to Santiago, Chile in recognition of delivery excellence and leadership capability. ▪ QA Team Build & Agile Ownership: Served as Product Owner and Scrum Master; built QA capability at Nisum's Chile delivery centre from scratch, including recruiting and career development frameworks.

▪ Foundational QA: Delivered functional, regression, and integration testing for web and desktop applications; built foundational expertise in Selenium automation and defect lifecycle management.

Specification-Driven Development (SDD) as the Governance backbone for AI-DLC, Thesis Publication

International Journal of Scientific Research in Engineering and Management