Summary
Eric Shaw is a Staff AI/ML Engineer based in Dallas with 11+ years building and scaling AI-driven products across healthcare, fintech, and edtech. He specializes in LLM systems, RAG, and multi-agent orchestration using LangChain, LangGraph, AutoGen and MCP, and has hands-on expertise optimizing and deploying foundation models with vLLM, TensorRT-LLM, and FlashAttention. A full-stack practitioner fluent in Python, FastAPI, and Django, he combines modern MLOps/DevOps on AWS, Azure, and Kubernetes to prioritize reliability, safety, and compliance in production ML. His career spans impactful roles at Hippocratic AI, Capital One, Salesforce and IBM, reflecting experience moving models from research to regulated environments. Collected across a CS master’s from UT Austin and dual bachelor’s, he brings a pragmatic mix of research-grade model tuning and production engineering, with a terse personal ethos—“Respect all, fear none”—that underscores a measured, decisive approach.
11 years of coding experience
10 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at The University of Texas at Austin
Master of Science Computational Science, Master of Science Computational Science at University of Texas at Austin
Bachelor's degree Computer Science, Bachelor's degree Computer Science at University of North Texas