About

Christopher Mangun

Healthcare AI Consultant with 15+ years delivering production AI/ML systems for the world's most demanding regulated environments. I help pharmaceutical, medical device, and life sciences companies move from AI pilots to production systems that pass audits and deliver measurable outcomes.

Background

I've spent my career at the intersection of enterprise technology and healthcare compliance. From migrating ML pipelines through FDA audits at Abbott, to building the first MCP-RAG knowledge platform for pharmaceutical content at Pfizer, I've learned that the hardest part of AI isn't the algorithms—it's shipping systems that work in production under real constraints.

Zero HIPAA violations across $51M+ in regulated AI portfolios. Zero FDA audit findings on ML system migrations.

Based in New York, I work with healthcare organizations that need someone who understands both the technical depth of modern AI systems and the regulatory reality of deploying them in clinical and commercial environments.

Credentials

Google Cloud Professional Cloud Architect

Google Cloud

Google Professional Machine Learning Engineer

Google Cloud

Microsoft Azure AI Engineer Associate

Microsoft

AWS Machine Learning Specialty

Amazon Web Services

Lean Six Sigma Black Belt

IASSC

Stanford AI/ML Healthcare Specialization

Stanford University

Clients

Pfizer

2024-2025

Abbott

2018-2020

IPG Health

2020-2024

Novartis

2020-2024

Sanofi

2020-2024

Medtronic

2017-2018

Eli Lilly

2014-2016

Amgen

2015-2017

Technical Expertise

AI/ML Systems

  • RAG Systems
  • Graph-RAG
  • LLM Integration
  • NLP
  • Fine-tuning
  • Prompt Engineering

Platforms

  • Azure ML
  • AWS SageMaker
  • AKS
  • MLflow
  • Kubeflow
  • Vertex AI

Data

  • PostgreSQL
  • Neo4j
  • Pinecone
  • Qdrant
  • Delta Lake
  • Snowflake

Compliance

  • HIPAA
  • FDA 21 CFR Part 11
  • MLR Compliance
  • SOC 2
  • Model Explainability

Let's discuss your AI initiative