Rob Simpson pertrai1

Rob Simpson

Software Engineer with 15+ years experience. Enjoy modern frameworks/libraries, modular component architecture, and cloud-enabled services.

I thoroughly enjoy Meta-Learning — understanding the mechanics of how we acquire and apply new knowledge.

My current focus is "AI Engineering" — understanding the low level design of RAG, embeddings, and model orchestration.

PLANTS NLQI — A Natural Language Query Interface for the USDA botanical database. Solving for accuracy in specialized scientific domains using RAG.
OpenSpec Architecture — Experimenting with declarative, YAML-based AI agent definitions to ensure developer-led control over agentic workflows.
Model Translation — Learning to port Python ML models to browser-ready TypeScript/TensorFlow.js to enable high-performance, client-side intelligence.
508 Accessibility Tools — Prototyping applications that help developers automate and verify Section 508/WCAG compliance in modern SPAs.

I enjoy learning and challenging myself at these platforms:

A lab for production-ready AI implementations.

FieldGuide Assistant: Multi-document RAG system focused on context-aware retrieval.
Agent Orchestration: Building frameworks that keep the human "in the loop," prioritizing developer agency over autonomous agent control.

A laboratory for problem-solving and meta-learning.

Learning How to Learn: Using challenges as a medium to refine Active Recall and Spaced Repetition techniques in a technical context.
First Principles: Breaking down complex problems into primitive patterns (Graph theory, Dynamic Programming, Sliding Windows) to build a reusable mental library for system design.
Process over Product: Each solution is an exercise in documenting the "why"—translating abstract requirements into clean, performant TypeScript/Python code.