Founder — Parsellion
Solution Architect & Lead Engineer · 22 years building enterprise software
I'm a Solution Architect and Lead Engineer with over two decades of experience building enterprise-grade software. My background is in modern .NET and C#, distributed systems, microservices, APIs, and cloud-agnostic architectures — designing systems that are scalable, secure, and resilient using Clean Architecture, Domain-Driven Design, CQRS, and event-driven patterns.
Across those 22 years I've worked extensively with AWS and cloud-native platforms, high-volume data and messaging systems, and large-scale enterprise applications. What I've always enjoyed most is taking a genuinely hard business problem and turning it into a practical, maintainable solution that delivers measurable value.
More recently, I've focused that experience on artificial intelligence — Generative AI, retrieval-augmented generation (RAG), and agentic systems — and on what happens when you combine mature enterprise architecture with modern AI. That combination is exactly what Parsellion is: intelligent document understanding, automated data extraction, and AI agents that don't just read documents but act on them, all built on foundations designed to run securely in the cloud or in on-premises and air-gapped environments.
I built Parsellion to bring that engineering rigor to a problem businesses feel every day — the manual, error-prone work of processing invoices and financial documents. My goal is to bridge software engineering, cloud, data, and AI into technology that quietly does the work, reliably, and earns trust by getting the details right.