Philipp Brunenberg

Design and implementation of real-time streaming applications to be deployed on cloud infrastructure. Give internal workshops about big data technologies.

Design and implementation of event-driven ingestion pipeline to populate graph model.

- Optimized a large-scale text analytics pipeline for scalability and performance - Implemented knowledge discovery use-cases utilizing state-of-the-art NLP \& ML approaches - Researched and applied efficient algorithms for analyzing large data sets - Educated in-house development team on big data software development and data mining - Technologies: Spark, Java, Scala, Docker, AWS, CI, Spring, Elasticsearch, SQL, Sonar, git, Grafana, Graphite

Project: Automatic calculation of nutritional values for food recipes - Consultation on planning of the project and the solution approach - Solution design: POC for a calculation pipeline based on multiple heterogeneous data sources and various machine learning approaches - Implementation of data processing pipeline to calculate nutritional values - Validation of results - Deploy pipeline on client infrastructure (AWS)

- Title: Knowledge Discovery in textual Databases for enhancing the automatic Calculation of nutritional Values for online-based Food Recipes - The work utilizes various machine learning and NLP approaches to extract information from unstructured text to determine the nutritional content of food recipes - Theoretical approaches: Tokenization, Part-of-Speech Tagging, Stemming, Neural Networks, Logistic Regression, Word Embeddings - Used Technology: Apache Spark, Scala, Docker, Python, Stanford-NLP

Requirements elicitation, Analysis, Design, Implementation and Validation of a control software for the humanoid robot 'Roboy'. Based on ROS and C++ and MyoRobotics Framework.

Research and implementation of self-learning health indicator for food recipes based on machine learning algorithms and expert labeled input.

Design and prototypical implementation of a dynamic mission planner for integration into the mission planning software of an unmanned aerial vehicle in C++.

Development of a safety- and time-critical middleware in C for an integrated modular avionics platform (based on multiple Linux kernels).

Künstliche Intelligenz, Software Engineering, Projektmanagement

Softwareentwicklung, Software Engineering