Luis Silva

Led release governance for a regulated mobile banking platform, coordinating 25 engineers and QA specialists across sprint execution, release readiness, deployment planning, and production delivery controls. Owned Agile board execution visibility and managed go/no-go readiness using Definition of Ready/Done, deployment checklists, and release documentation.

Owned end-to-end IT delivery in regulated enterprise environments, leading Agile/SAFe multi-team initiatives while managing scope, risk, dependencies, and governance reporting. Improved delivery lead time/throughput by 30% and reduced recurring support requests by 50% through prioritisation/dependency tracking and a self-service knowledge base.

Owned end-to-end backlog in Azure DevOps, balancing business value, operational risk, and engineering capacity. Led PI planning and sprint ceremonies, coordinating cross-team dependencies and building delivery transparency for senior stakeholders.

Owned end-to-end delivery for a regulated banking client by managing scope, risk register, dependencies, and steering communication. Coordinated cross-functional teams across multiple locations/time zones, standardising cadence and reporting.

Stabilised operational flow through structured daily coordination, clear ownership, and KPI/SLA tracking. Introduced onboarding guides and a self-service knowledge base, and coordinated QA delivery initiatives using maturity/quality dashboards.

Delivered a regulated healthcare engagement by controlling scope, maintaining a risk register, managing dependencies, and aligning stakeholders. Restructured prioritisation and dependency tracking to improve delivery lead time and throughput.

Built and maintained travel-sector enterprise applications using Java-based technologies during Agile/Waterfall delivery cycles. Collaborated with project and architecture stakeholders to support system integration and delivery readiness.

Delivered enterprise-scale systems in banking, travel, and telecommunications, contributing to business-critical platforms across Agile and Waterfall delivery models. Collaborated with project managers, architects, and business stakeholders and supported release planning, system integration, and delivery risk mitigation.

Developed and supported enterprise-scale banking systems using a Java EE technology stack. Worked within Agile and Waterfall delivery models and collaborated with project managers and architects on delivery readiness and release planning.

Developed enterprise-scale systems for banking clients using Java EE technologies. Contributed to release planning, system integration, and delivery readiness, partnering with project managers, architects, and stakeholders.

MSc in Applied Artificial Intelligence with thesis work completed at King's College London (University of London). Coursework included Faculty of Science and Technology at New University of Lisbon.

BSc in Computer Science from the University of Lisbon.