Summary
Daniel Siemon is a seasoned software engineer and managing partner with over three decades in software and 5+ years focused on production-grade AI systems, having designed and shipped 27+ SaaS products that integrate multi-provider LLMs, advanced RAG pipelines, real-time voice AI, and agentic systems. He combines hands-on full-stack delivery—C#, Blazor, Python, Azure/AWS, Docker, CI/CD—with deep AI architecture skills across embeddings, vector DBs, knowledge graphs, OCR/layout models, and large-scale agent orchestration (an AI Agent OS with 300+ capabilities). As a founder and consultant he has guided digital transformation for enterprises and government customers, translating complex domain needs into robust, deployable systems. Based in Harrisburg, PA, he blends long-term entrepreneurial experience with recent cutting-edge AI engineering, frequently bridging legacy enterprise stacks and modern AI-first architectures. An uncommon strength is his practical mastery of hybrid retrieval and multi-step agent pipelines, enabling production autonomy and real-time AI interactions.
11 years of coding experience
7 years of employment as a software developer
DIploma, Computer Sciences, DIploma, Computer Sciences at High School Diploma & 2 years advanced
Business, Business at HACC, Central Pennsylvania's Community College
English, Spanish