David Rosko

Background

About David Rosko

I build enterprise platforms where AI is not a demo—it’s part of the delivery pipeline. I’m a Domain / Solution Architect with 14+ years in software engineering and architecture, focused on cloud-native.NET microservices, big data, and production-grade LLM integrations—especially in environments where scale, reliability, and security matter. Rolled out company-wide LLM adoption to accelerate delivery (unit tests, code review, support & sales enablement) Designed and deployed a RAG knowledge platform (Azure Cognitive Search + Azure OpenAI GPT) Integrated Semantic Kernel + CrewAI into.NET services to automate unit test generation and code reviews Led architecture for a platform processing massive datasets (terabytes/minute), managing 60+ microservices Managed 60 developers + architects/POs/testers; owned key technical decisions end-to-end Drove measurable results: 60% hardware cost reduction, 20% lower ops cost, 70% faster deployment cycles, 40% faster deployments via CI/CD improvements Earlier (Mluvii): Launched an AI-driven chatbot (pre-ChatGPT era) with ~0.1s response times Built real-time AI suggestions for agents + predictive responses Delivered enterprise omnichannel + video solutions across multiple parallel projects I’m happiest where strategy meets execution: aligning stakeholders, shaping architecture, coaching teams, and still getting hands-on when needed. Open to: innovative startups, enterprise AI adoption, architecture leadership, CTO/Head of Engineering style challenges. If you’re scaling microservices or bringing LLMs into production safely, let’s connect.