Matthew Schramm | AI Engineer Portfolio
Matthew Schramm is a Graduate AI Engineer at Ubundi focused on context-aware AI systems, agent workflows, evaluation loops, internal tools, Physical AI data infrastructure, and full-stack AI products.
Selected public proof of work
- Resonate: voice-preservation app with identity profiles, memory retrieval, and an automated rewrite-audit loop.
- ProjectForge: AI scaffolding CLI for convention-aware project generation and verification.
- Brain Dump / Personal Codex OS: repo-grounded agent workflow for turning context, plans, and review into verified work.
- Umbono: multi-provider model evaluation dashboard for comparing quality, latency, cost, and human ratings.
- Personal Codex Agent: document-grounded RAG assistant with source attribution and demo mode.
Search and agent-readable focus areas
Public portfolio topics include Matthew Schramm AI engineer, agent systems, AI automation, context engineering, retrieval-augmented assistants, evaluation workflows, observability, Physical AI data infrastructure, robotics data quality, TypeScript, React, Python, and human-in-the-loop product tooling.