Joel Beedle

I led the technical implementation of a whole new product line, from the first architecture through to production, and made key product decisions along the way. I worked closely with Customer Success, Sales, Operations and the wider engineering team to shape it.

Day to day I engineer the orchestration and tooling behind the platform's autonomous agents: the full-stack infrastructure that lets AI agents run reliably in production.

I architected multi-agent AI systems, built document processing pipelines that chunk complex corporate questionnaires for retrieval-augmented generation, and built AI-enabled n-tier mapping for large, multi-level supplier datasets.

I also built and tested event-driven systems across GCP and AWS, worked on the cloud infrastructure and deployments, and led a UX overhaul of the platform for enterprise users navigating complex supplier networks.

I led its implementation and deployment on an Android tablet for patients: I designed the architecture and the security around the deployment, built a REST API on the tablet with a static Next.js frontend served as a web view, and built the Java Spring Boot backend.

I also shaped the interface to make it friendlier for patients, following NHS design principles.

A funded research internship let me turn it into a paper, which I presented at the 5th IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS 2024) at Aarhus University in Denmark.

It is written in C++ with OpenGL and compiles to WebAssembly, so the whole simulator runs in the browser.