Marc Schneider

AI Engineering Consultant

AI engineer with 5+ years shipping production LLM systems in insurance, banking and compliance. TUM elite mathematics master; German-French bilingual. Feel free to reach out.

Senior AI Engineering Consultant

Unit8 AG

  • GenAI Coverage Checker for a reinsurer: an LLM pipeline cutting 200k monthly claim documents to a few hundred alerts. Saved 8.2M CHF in 3 months.
  • German-language voice agent (ElevenLabs partnership) for a medical-diagnostics lab group, live in 3 months.

Senior ML Engineering Consultant

Alexander Thamm GmbH

  • Marketing text generator (RAG) and tonality coach, owning the backlog with marketing stakeholders. Cut spend on external agencies.
  • Customer-facing product recommendation sales bot for a retail client.
  • LLM supervisory report generator for liquidity risk, built directly with the risk supervisors using it.
  • OCR-based ID extraction from scanned documents for KYC compliance.

Student Data Analyst

Siemens AG, Compliance Department

  • Regression model to identify non-compliant transactions, growing cases found per quarter sixfold.
  • Deployed GPT-2 and used GPT-3 to translate the company's terms and conditions into plain language.

Mathematics B.Sc. & M.Sc., grade 1.4

Technical University of Munich, TopMath elite program

Semester abroad: Data Science at UC San Diego, grade A+ (2019).

German-French Abitur (1.4) and Baccalauréat (bien)

Wagenburg-Gymnasium Stuttgart

Scholarship holder

German National Academic Foundation (Studienstiftung des deutschen Volkes)

Best Team, Digital Shapers

McKinsey & Company

Team victory for Bertelsmann (€10,000), pitching an app for musicians to plan live tours.

First prizes, national and international competitions

Mathematics (BWM, LWM), Computer Science (BWInf), Physics (IPhO), Competitive Programming (NWERC, ICPC)

Mother tongue
German, French
Fluent (C1)
English, Spanish

Methoden der Künstlichen Intelligenz in der Rechtswissenschaft

Zeitschrift für Digitalisierung und Recht (ZfDR), 2021, pp. 155–174. Classification of laws into legal areas with topic modeling (NLP).