Curriculum Vitae — Paul Pommer

Senior Research Engineer

May 2025 - Present · Munich (DE)

Currently building a benchmark for latent world models and core infrastructure for research automation. Besides that, interested in training empirically identifiable action-conditioned world models solving tasks on large & complex real-world datasets.

Research Engineer

Mar 2024 - May 2025 · Munich (DE)

Contributed to building tools for explainability research including 1) a framework for empirical identifiability and consistency, 2) software libraries & data engines around sparse autoencoder (SAE) training, and 3) software for annotating and hosting concepts extracted by SAEs.

Lead Engineer

Mar 2026 - May 2026 · Berlin (DE), Munich (DE)

Contributed to building the Adaptive Intelligent System (AIS), an agentic tutoring system and hub for educational resources, in collaboration with all 16 German federal states and funded by the DigitalPakt Schule.

Senior Software Engineer

May 2025 - Mar 2026 · Berlin (DE), Munich (DE)

Built a PoC for hub.schule, an educational content platform built on top of Gitea.

Software Engineer

May 2023 - May 2025 · Berlin (DE), Munich (DE)

Developed and shipped the AI teaching platform kiwi.schule.

Community Lead

Jun 2021 - May 2023 · Berlin (DE), Munich (DE)

Established the Munich chapter and initiated cooperation with Google.

AI Consultant & Researcher

Apr 2021 - Aug 2022 · Munich (DE)

• Contributed to applied AI and data projects alongside Deloitte's AI Institute
• Developed and integrated full-stack solutions, including an Angular frontend and NLP backends
• Implemented semantic search for legal documents using Haystack and Elasticsearch
• Master's thesis on fairness in NLP, focusing on detecting and mitigating bias in language models

Transfer Pricing Consultant & Researcher

Apr 2017 - Sep 2019 · Munich (DE), Vienna (AT), Brussels (BE)

• Worked on transfer pricing projects across multiple international Deloitte offices
• Led internal trainings on SAP-based concepts for cross-border intercompany transactions
• Conducted financial, economic, and IP valuation analyses for transfer pricing reports
• Bachelor's thesis on Operational Transfer Pricing

Master of Science (M.Sc.), Management & Technology

2019 - 2022

Double major in Computer Science and Finance. Thesis: "Towards Fairness in NLP: Neural Methods for Flavor Detection and Bias Mitigation".

Bachelor of Science (B.Sc.), Management & Technology

2015 - 2019

Double major in Computer Science and Finance. Thesis: "A Data Model for the Determination, Adjustment, and Documentation of Transfer Prices".

Bachelor of Science (B.Sc.), Architecture

2014 - 2015