Master’s thesis research in neuro-symbolic process mining (grade 1.3), focused on robust anomaly detection and LLM-assisted analyst workflows.

• Improved anomaly detection in business process mining by up to 47% with TensorFlow-based models.
• Reached 70% of human-level performance while reducing manual effort by 50% via an AI-LLM system using LangChain, Ollama, and MCP.
• Implemented process-mining and machine-learning algorithms in TensorFlow for repeatable experimentation.
• Built Python tools to automatically select relevant SQL tables and anomaly-detector parameters.
• Authored 33 few-shot prompts, JSON schemas, and microservices for structured agent outputs.

Relevant skills: Data Science, LLM development, Process Mining, Python, TensorFlow, MCP, LangChain, Ollama, Pydantic, Pandas, SQL, PostgreSQL, SQLite3, OpenAPI, Hugging Face, Docker microservices.

Developed and delivered an analysis tool for embedded driver-assistance systems on ARM platforms to four customer projects.

• Reduced memory leaks across two internal C++ libraries by operationalizing the tool in Conan, CMake, and Python build workflows.
• Owned the full delivery lifecycle from requirements engineering and architecture to implementation, production maintenance, and user support.
• Implemented 12 Qt-based reference projects for live customer demos and reusable C++ middleware integration patterns.
• Integrated tooling and requirement checks into GitHub workflows and Confluence for all pull requests.
• Contributed in agile delivery processes under ISO-26262 and ASPICE constraints with JIRA-based traceability.

Relevant skills: Embedded development, C++, Python, Qt, Conan, CMake, Git, GitHub Actions, Linux, QNX, Bash, JIRA, Confluence, Agile, ISO-26262, ASPICE.

Responsible for marketing execution for a TEDx conference with more than 300 attendees.

• Delivered a successful marketing strategy that sold out tickets two months before the event.
• Drove more than 20,000 website visits through targeted, data-informed social media campaigns.
• Led a team of six marketing volunteers.
• Served on the board with ownership of legal topics, recruiting, and annual planning for 35 members.

Relevant skills: Data-driven marketing, KPI tracking, team leadership, recruiting, stakeholder management, agile collaboration.

Co-developed a transformer-based NLP system in TensorFlow for automated enterprise email classification.

• Generated up to EUR 80,000 annual cost savings by deploying containerized microservices to AWS.
• Authored more than 20 quality-assurance test cases for model validation using Python unit tests and scikit-learn.
• Performed CVE-based dependency security analysis to reduce software supply-chain risk.
• Implemented Linux-based operational processes, internal SQL database integrations, and Apache Airflow workflows.

Relevant skills: NLP, Data Science, Python, TensorFlow, scikit-learn, SQL, AWS, Docker, Microservices, Linux, Apache Airflow, CVE security analysis.

Implemented a configurable SQL database monitoring and alerting tool to prevent downtime in a C-mainframe payment verification system.

Relevant skills: SQL, C, database monitoring, incident prevention, Linux.

Implemented a cloud health system for monitoring server health in AWS using Go-based REST APIs.

Relevant skills: Go, REST APIs, AWS, cloud monitoring, Linux.