Martín Peixoto

Built an event-driven AI pricing platform using Kafka and ML services delivering real-time premium updates with <100ms latency Increased quote conversion from 16% to 22%, generating ~€1M in additional annual revenue through continuous A/B experimentation Developed an AI-powered migration platform generating production-ready .NET code and unit tests, reducing COBOL modernization timelines by 3–6 months Designed deterministic RAG-based workflows using .NET 10, custom MAF to automate legacy transformations

Built a predictive backend using forecasting models and event-driven microservices to optimize hospital resources in real time, achieving 25% higher bed occupancy (320 to 400 beds). Reduced surgery cancellations(~120 to 95/month), staffing inefficiencies by ~15% through real-time resource optimization and monitoring with Grafana and Prometheus. Built an autonomous cloud optimization platform using Kubernetes, Terraform, and AI-driven agents, reducing cloud costs from €90K to ~€75K per month.