Matthew Fong, PhD

10+ years of experience as an astrophysicist to AI/ML technical communication and AI-powered tool development at AWS. Self-taught at applying ML and statistical methods to massive datasets using Python, creating AI-powered tools and pipelines using LLMs and MCP Protocol, designing and delivering AI training to AWS employees, and creating technical content for AWS AI/ML services.

Explore My Work About Me

Technical Communication

3+ years at AWS creating developer documentation, API references, and information architecture for SageMaker AI services.

AI-Powered Tools

Built AI-powered tools and pipelines using LLMs, MCP Protocol, and Python. Designed and delivered AI training at AWS with 80%+ adoption.

Data Science & Research

7+ years applying ML, statistical modeling, and Python to petabyte-scale datasets across 4 first-author publications.

Areas of Expertise

Data Science & Analytics

Statistical Modeling MCMC & Bayesian Inference Gaussian Process Regression Data Visualization Big Data Processing Python (NumPy, SciPy, Pandas, scikit-learn) SQL

Technical Communication

Developer Documentation API References Information Architecture Docs-as-Code DITA/XML Content Strategy Cross-functional Collaboration

Generative AI & LLM Tools

LLM Integration Prompt Engineering RAG Pipelines Agentic Systems MCP Protocol Foundation Model Selection AI Training & Enablement

AWS & Cloud

SageMaker AI Bedrock HyperPod Lambda S3 CloudFormation IAM