Software Engineer Lansweeper
Architected and led the implementation of a distributed event-sourcing platform using Microsoft Orleans and .NET 8. The platform processed 2.3 billion monthly events for financial trading analytics across 15 global markets, achieving 95.5% reliability.
Engineered a real-time risk calculation engine with Azure Functions and Kafka, reducing trade-decision latency from 450 ms to 85 ms while supporting more than 2,500 concurrent connections during volatility events. Led technical due diligence for AI initiatives, implemented Azure Cognitive Services for communication analysis, and helped identify 12% more compliance risks automatically.
Mentored six engineers across backend, frontend, and DevOps disciplines and established a career-growth framework that contributed to three promotions to senior roles within 18 months. Facilitated innovation sessions that resulted in a patent-pending real-time market-sentiment algorithm integrated into the product, generating €2.8M in new revenue.