Daniel Stoll

Professional Experience

2024 — Present

Founder & CEO

Patalyze GmbH

A lot of coding, a lot of data engineering, a lot of sales. Basically a lot of everything.
2021 — 2023

Research Assistant: Graph Partitioning

Technical University of Munich

Research in improving the performance of large-scale graph processing systems and graph partitioning algorithms.
2020 — 2022

Research Assistant: Cloud-Platform Development

Leibniz-Rechenzentrum

Developed a data exchange and analysis platform for sharing scientific data (e.g. state geographic baseline data, simulation results) between university partners and federal agencies.
2018 — 2020

Software Engineer

mgm technology partners GmbH

Engineer for a public sector e-government project in Germany. Developed an in-house Java framework for automated functional testing based on Selenium and Google Juice.

Education

2021 — 2023

M.Sc. Data Engineering & Analytics

Technical University of Munich

Graduated with high distinction (top of class).

Thesis: A Distributed System for Scalable Training of Graph Neural Networks

2017 — 2021

B.Sc. Informatics

Technical University of Munich

Thesis: Improving the Effectiveness of Edge Partitioning Algorithms in Distributed Graph Computation