Philipp Brunenberg
Senior Data & Machine Learning Engineer
Experience
Sep 2023 - Dec 2023
4 monthsImplement LLM-Based Tax-Automation Tool
Self-owned
- Implement a command line-based tax automation and pdf processing tool
- Fine-tune Llama2 LLM with custom generated training data to enable custom information retrieval from pdf documents
- Utilize student-teacher approach to generate training data with ChatGPT results
- Technologies: Python, PyTorch, Pandas, Google Colab, Llama, ChatGPT, langchain
Sep 2022 - Sep 2023
1 year 1 monthRe-Design of a Large-Scale Streaming Application
Deutsche Börse
- Conceptualize functional & non-functional requirements, consult business requirements and technical specification teams, technical review of specifications
- Develop technical design for real-time streaming application processing multi-billion messages per day
- Implement multiple Spark Structured Streaming applications, including custom outer-join operations, Hbase access and complex data structures
- Conceptualize and implement data migration routines from classical DWH to event stream-based representation
- Technologies: Spark (SQL, Structured Streaming), Kafka (Avro), Hbase, Oracle DB, Informatica, HDFS, Zeppelin, YARN, Apache Hive
Dec 2021 - Jul 2022
8 months Germany
Advanced Analytics in a Large-Scale Knowledge Graph
DB Systel
- Help client with stability and performance challenges with a large-scale single node Neo4j database
- Implement a concurrent ETL process to load a timely-sorted two-dimensional grid of linked nodes in Neo4j
- Setup a monitoring system for Neo4j
- Implement an automatic backup process to backup the Neo4j database nightly and store archives
- Technologies: Neo4j, Python, AWS, Grafana, Graphite, PostgreSQL, HDFS, Kafka
Sep 2019 - Apr 2021
1 year 8 monthsAdvanced Graph Analytics on a Multi-Billion Node Knowledge Graph
Ippen Digital GmbH
- Design, implementation & operation of a large-scale, stream-fed, multi-billion node knowledge graph (TigerGraph)
- Requirement analysis, design, implementation and operation of a graph-based real-time recommendation engine for news articles
- Schema modeling & validation of a knowledge graph of multiple data streams
- Technologies: TigerGraph, Kafka, AWS, Docker, Kubernetes, Java, Scala, Go, Grafana, Prometheus, Terraform, Helm
Mar 2019 - Jul 2019
5 months Germany
Implementation of Real-Time Analytics Applications
Telefonica Germany GmbH
- Design and implement real-time streaming applications
- Give internal workshop about Apache Kafka
- Technologies: Spark, Kafka, Kafka Streams, Scala, Docker, Kubernetes, AWS, Akka Streams
Sep 2018 - Jan 2019
5 monthsDesign & Implementation of an Advanced Analytics Streaming Application
Allianz SE
- Designed and implemented a proof-of-concept for an event-driven data analytics application
- Developed an ingestion pipeline to transform and feed relational data into a graph database
- Technologies: Spark, Kafka, Java, Scala, Docker, Neo4j, git
Jan 2018 - Jul 2018
7 monthsFeature Implementation & Performance Optimizations of Document Mining Application
Ayfie GmbH
- 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
Jun 2017 - Sep 2017
4 monthsMachine Learning for Knowledge Discovery in Food Recipes
EatSmarter GmbH
- 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
- Deploy pipeline on client infrastructure (AWS)
- Technologies: Spark, Scala, AWS, Docker, Python, git, MySQL, CouchDB
Nov 2016 - May 2017
7 months Munich, Germany
Master's Thesis: Knowledge Discovery in unstructured Data
Technical University Munich (TUM)
- 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
- Technologies: Apache Spark, Scala, Docker, Python, Stanford-NLP
Nov 2016 - May 2017
7 months Munich, Germany
Team Lead of Software Development at TUM Student Group "Roboy"
Technical University Munich (TUM)
- As a team of interdisciplinary TUM students we developed a child-sized humanoid robot and promote the work on various events all over the world
- As the team leader of the software development group, I was responsible for design, implementation and software engineering processes of the group
- Technologies: C++, ROS (Robot Operating System), CMake, Unix
Jun 2016 - Sep 2016
4 monthsMachine Learning for Automatic Classification of Food Recipes
EatSmarter GmbH
- Project: Provide an indicator for the healthiness of food recipes which is based in expert ratings
- Consulting in management and design thinking to derive useful innovative use cases from existing data of the client
- Proof of concept: supervise generation of training data set and analyze data quality
- Implementation of supervised classification system based on selected features and various approaches
- Implementation and validation of final solution
- Technologies: Spark, Scala, AWS, SQL, git, Docker, Python
Apr 2016 - Present
8 years 11 months Germany
Freelance Data Engineering & Machine Learning Consultant
Self-employed
As a passionate freelance big data consultant, my expertise lies in crafting high-quality, and scalable data-driven applications that meet the unique requirements of my clients. I am dedicated to creating production-ready software solutions, leveraging cutting-edge machine learning techniques and robust big data architectures. Collaborating with in-house software development teams, as well as non-technical stakeholders, I thrive on practical problem-solving approaches and finding clear perspectives. Furthermore, I take great pleasure in empowering teams through customized workshops, equipping them with the knowledge and skills to develop scalable big data applications independently.
Oct 2014 - Mar 2015
6 months Fürstenfeldbruck, Germany
Research & Development: Unmanned Aerial Vehicle
Elektroniksystem- und Logistik-GmbH (ESG)
- Bachelor's Thesis: Design and prototypical implementation of a dynamic mission planner for integration into the mission planning software of an unmanned aerial vehicle in C++
- Throughout the thesis I researched multiple approaches of route planning of an unmanned helicopter (UMAT) to explore a predefined area for hazardous gas
- I implemented the routing algorithm in C++ to be used by the mission planning software developed by ESG
- Technologies: C++, QT, CMake, Unix
May 2013 - Sep 2014
1 year 5 months Fürstenfeldbruck, Germany
Software Engineering & Development: Aerosystems Avionics
Elektroniksystem- und Logistik-GmbH (ESG)
- I was involved in the software development team developing a time- and safety-critical, distributed middleware in C
- The middleware was deployed on a highly modular avionics platform developed by ESG
- The platform was composed of multiple Unix-like modules, which were interchangeable on the fly
- Technologies: C, CMake, Unix
Summary
I am dedicated to help my clients build scalable, high-quality big data & machine learning solutions.
Languages
German
Native
Spanish
Advanced
English
Elementary
Education
Oct 2014 - Jun 2017
Technical University Munich
M. Sc. · Computer Science · München, Germany
Oct 2011 - Jun 2014