---
title: "Wolfram Ravenwolf"
category: "people"
role: "AI Evangelist"
company: "Weights & Biases by CoreWeave"
linkedin: "https://de.linkedin.com/in/wolframravenwolf"
twitter: "https://x.com/WolframRvnwlf"
website: "https://wolfbench.ai/"
blog: "https://wolfbench.ai/"
sourceLabels: ["Official speaker roster", "Official conference schedule"]
---
# Wolfram Ravenwolf

## Profile
AI Evangelist at [[weights-and-biases-by-coreweave|Weights & Biases by CoreWeave]].

- [LinkedIn](https://de.linkedin.com/in/wolframravenwolf)
- [X / Twitter](https://x.com/WolframRvnwlf)
- [Website](https://wolfbench.ai/)
- [Blog](https://wolfbench.ai/)

## Biography
Wolfram Ravenwolf is an AI Evangelist at CoreWeave / Weights & Biases, where he helps builders evaluate, debug, and ship useful AI systems. He works across model evaluation, agent tooling, inference infrastructure, and developer education, translating hands-on engineering work into practical guidance for teams adopting frontier AI. Wolfram is the creator of WolfBench, a five-metric framework for evaluating agent performance based on Terminal-Bench 2.0, and regularly tests new models, coding agents, and evaluation workflows in real-world conditions. He is also a ThursdAI co-host, speaker, writer, and longtime AI community builder. Before joining CoreWeave/W&B, he worked as an engineer, researcher, and consultant focused on making complex technology usable. His talks are practical, opinionated, and grounded in live experimentation: fewer buzzwords, more working systems.

## Conference Sessions
- [[2026-06-29-wolfram-ravenwolf-from-zero-to-leaderboard-building-an-end-to-end-ai-agent-evaluation-pipeline]] — From Zero to Leaderboard: Building an End-to-End AI Agent Evaluation Pipeline (2026-06-29, 12:10pm-1:10pm)

## Evidence Graph
This evidence graph summarizes how this person appears across the conference source graph: scheduled sessions, linked videos, transcripts, and slide-derived evidence.

### Linked Sessions
- [[2026-06-29-wolfram-ravenwolf-from-zero-to-leaderboard-building-an-end-to-end-ai-agent-evaluation-pipeline|From Zero to Leaderboard: Building an End-to-End AI Agent Evaluation Pipeline]]

### Media Signals
No linked video, transcript, or slide source has been attached yet.