Oisīn Quin

Architected and implemented a distributed event-sourcing platform using Microsoft Orleans on .NET 8, processing billions of monthly events for financial trading analytics across 15 global markets with 95.5% reliability. Engineered a real-time risk calculation engine using Azure Functions and Kafka, reducing trade decision latency from 450ms to 85ms while handling 2,500+ concurrent connections during high-volatility events. Led technical due diligence for AI integration, implementing Azure Cognitive Services for natural language processing of trader communications and improving automated compliance risk detection by 12%. Mentored 6 engineers across backend, frontend, and DevOps, establishing a career growth framework that resulted in 3 promotions to senior roles within 18 months. Drove innovation sessions producing a patent-pending real-time market sentiment analysis algorithm, integrated into production, generating €2.8M in new revenue.

Developed supply chain optimization system using C# and .NET Core, reducing inventory carrying costs by €4.5M via predictive analytics and real-time demand forecasting. Implemented a message-driven architecture with AMQP, enabling reliable communication between 15+ microservices and reducing system integration issues by 85%. Built a React/TypeScript frontend for logistics dashboards providing real-time visibility into €2.1B annual inventory movement across 35 distribution centers. Established comprehensive testing strategy using xUnit, achieving 85% code coverage and reducing production incidents by 60% through test-driven development practices. Gained foundational experience in cloud architecture and distributed systems supporting a platform that saw 500% user growth over two years.