Mark Schröder

Mark Schröder

About Me

Hi, I'm Mark. This page collects some of the things I do. Feel free to email me for any inquiries.

Now
AI Lead at Needs, B2B matching. Based in Vienna.
Side
Mechanism design, coordination and AI governance. A few small tools and experiments.
Study
Still finishing the Wirtschaftsingenieurwesen at RWTH Aachen, eventually.
Value
Clear, direct communication. Try to bring it into the work.
From
Schleswig-Holstein → Aachen → Vienna.
Languages
DE / EN

Experience

AI Lead | Needs, AI Matching

Needs, Vienna (Remote)

October 2025 to Present

Building an AI matching platform for B2B. Leading AI and engineering work in a team of three.

Bachelor's Thesis | AI for Requirements Management

Audi AG, Ingolstadt

February 2025 to May 2025

Developing a system to automate workflows in requirements management; building tools to generate test cases from requirements.

Intern | AI Implementation in TE

Audi AG, Ingolstadt

October 2024 - February 2025

Wrote code to optimize brake cooling parameters for ESC systems; worked with simulation data to improve realtime temperature simulations. Matlab, Python, Carmaker, Synopsis Silver.

Research Assistant

Laboratory for Machine Tools and Production Engineering (WZL) at RWTH Aachen University

October 2023 to October 2025

Revision and modernization of the EIP web platform (data collection). JavaScript, HTML, CSS; SQL Server-based database.

Founder & Developer | DirectionAI

Direction AI

August 2023 - February 2024

Developed DirectionAI, a life planning tool using LLMs for personalization. Built MVP on Bubble.io with AI integration.

Education

RWTH Aachen University

Bachelor's in Industrial Engineering and Management (Mechanical Engineering)

October 2020 - Present

Portfolio

Building

  • Personal Agent OSongoing

    A local agent stack for figuring out how to use AI well in my own life. Persistent context, task routing, memory compression, and a few small systems underneath.

  • Governance Mechanism Simulatorin progress

    A testbed for governance mechanisms run together instead of in isolation: prediction markets, quadratic voting, conviction voting, reputation. Populated with LLM agents that have roles, private information, and incentives.

Otherwise

Outside of work I kitesurf, play volleyball, dive, read (lately a lot of ancient history), and basteln. Spent six months on Work & Travel in New Zealand, back in 2020.