Resume

AI

Machine & Deep Learning 100%

Large Language Models 100%

Data Science & Data Analysis 100%

Agentic AI & AI Agents 90%

Java 70%

Python 85%

C# 70%

English 95%

German 100%

Japanese 60%

01 / 2026 – Current
Analytics Consultant – OPTANO GmbH, Germany

Project & client management: Technical leadership and delivery of consulting projects from concept to implementation.
Requirements engineering & stakeholder management: Close coordination with clients to define technical requirements and ensure quality.
In-house AI consulting: Supporting the integration of LLM technologies into internal software architecture and workflows.

12 / 2023 – 12 / 2025
Analytics Software Engineer – OPTANO GmbH, Germany

AI Enablement: Initiated and led a 4-month company-wide AI enablement project; advised teams on the practical and targeted use of AI tools.
Product development & optimization: Designed and developed C# software for operations research models, especially stochastic inventory optimization and network optimization using MIP.

12 / 2023 – Current
Guest Researcher – University of Hamburg, Germany

Research: Analyzing process smells and communication structures in issue tracking systems.

2018 – 2019
Research Engineer – The Qt Company, Finland

OpenReq coordination: Operationally coordinated the EU-funded OpenReq research project across partners and helped drive the work forward across several organizations.
Software & tooling: Designed and implemented an AI-assisted JIRA plugin in Java and JavaScript.
Research dissemination: Presented project results to the European Commission.

2017 – 2023
Research Associate – University of Hamburg, Germany

AI research: Applied deep learning and LLMs to improve issue tracking processes.
Teaching & supervision: Taught Software Engineering courses (Java, OOP) and supervised student research projects.

Internships & student work

PONTON GmbH (2017): Developed anomaly detection models for the energy market.
PHAT CONSULTING GmbH (2015): Conducted market research and presented on Azure Machine Learning.
University of Hamburg (2012–2015): Student assistant in mathematics for software engineers.

2017 – 2023
PhD in Computer Science – Summa Cum Laude
University of Hamburg, Germany

Focus: Data Science, Machine & Deep Learning, Natural Language Processing & Understanding.
Dissertation: Research on analysing and improving software development through Machine Learning-driven issue tracking.
Teaching: Software Engineering 1 & 2 (Java, OOP), Software Patterns, and M-Lab.

2013 – 2017
Master’s Degree in Mathematics – 1.0
University of Hamburg, Germany

Focus: Discrete mathematics, analytic/extremal graph theory & combinatorial optimization, machine learning.
Relevance: Building the mathematical foundation that informs my current machine learning approach.

2010 – 2014
Bachelor’s Degree in Business Mathematics– 1.45
University of Hamburg, Germany

Focus: Discrete mathematics, graph theory & finance.
Key takeaway: Strong analytical background in complex systems and decision-making.