Christopher Mangun

About Christopher Mangun

Over a decade of experience architecting complex systems and leading cross-functional teams, I design and implement end-to-end AI/ML platforms that scale from prototype to production. My expertise spans the complete AI systems lifecycle: from data architecture and model development to deployment orchestration and governance frameworks. Core Architecture Expertise: AI/ML Infrastructure Design - Building scalable, resilient ML pipelines and model serving architectures on cloud platforms LLM Systems Architecture - Designing governance frameworks, fine-tuning pipelines, and deployment strategies for large language models MLOps & DevOps Integration - Implementing CI/CD for ML, automated model monitoring, and infrastructure-as-code for AI systems Data Architecture & Engineering - Designing data lakes, feature stores, and real-time processing systems that power AI applications Cloud-Native AI Solutions - Architecting distributed AI systems using containerization, microservices, and serverless computing Strategic Leadership: My multidisciplinary background in finance, design, and analytics enables me to bridge technical architecture with business strategy. I excel at translating complex AI capabilities into scalable products while ensuring compliance with data privacy regulations and industry standards. Recent Focus Areas: Enterprise RAG deployment w/ governance frameworks Ambient Intelligent system design and bias mitigation Real-time ML inference architecture

Experience

1. Production Lead

   Publicis Health

   Mar 2024 — Present · NY, US

Education

• Southern Illinois University, Carbondale

  Bachelor of Science