Philipp Brunenberg
Research for Master's Thesis
Erfahrungen
Sept. 2023 - Dez. 2023
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- Implement a command line-based tax automation and PDF processing tool.
- Fine-tune Llama2 LLM with custom training data for information retrieval from PDFs.
- Employ a student-teacher approach for data generation, utilizing ChatGPT.
- Technologies: Python, PyTorch, Pandas, Google Colab, Llama, ChatGPT, Git, Langchain.
Sept. 2022 - Sept. 2023
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Deutsche Börse
- Develop concept and consult on functional and non-functional requirements for business needs.
- Create and implement real-time streaming application designs processing multi-billion messages daily.
- Use Spark Structured Streaming for custom operations and complex data management.
- Migrate traditional DWH to event stream-based data representation.
- Technologies: Spark (SQL, Structured Streaming), Kafka (Avro), HBase, Oracle DB, Informatica, HDFS, Zeppelin, YARN, Apache Hive.
Dez. 2021 - Juli 2022
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DB Systel
- Address stability and performance challenges with a Neo4j database.
- Create a concurrent ETL process for sorted node grid loading in Neo4j.
- Develop Neo4j monitoring and automated backup routines.
- Technologies: Neo4j, Python, AWS, Grafana, Graphite, PostgreSQL, HDFS, Kafka, Apache Spark.
Sept. 2019 - Apr. 2021
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Ippen Digital GmbH
- Design and operate a large-scaled, stream-fed, multi-billion node TigerGraph knowledge graph.
- Requirement analysis and creation of a graph-based article recommendation engine.
- Design and validate multi-stream schema models.
- Technologies: TigerGraph, Kafka, AWS, Docker, Kubernetes, Java, Scala, Go, Grafana, Prometheus, Terraform, Helm.
März 2019 - Juli 2019
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Telefonica Germany GmbH
- Design and implement real-time streaming applications.
- Conduct workshops on Apache Kafka.
- Technologies: Spark, Kafka, Kafka Streams, Scala, Docker, Kubernetes, AWS, Akka Streams.
Sept. 2018 - Jan. 2019
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Allianz SE
- Develop a proof-of-concept for event-driven data analytics.
- Build an ingestion pipeline transferring relational data to a graph database.
- Technologies: Spark, Kafka, Java, Scala, Docker, Neo4j, Git.
Jan. 2018 - Juli 2018
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Ayfie GmbH
- Optimize a text analytics pipeline for scalability and performance.
- Utilize NLP and machine learning for knowledge discovery use cases.
- Research and apply scalable algorithmic solutions for data analysis.
- Educate teams on modern big data approaches.
- Technologies: Spark, Java, Scala, Docker, AWS, CI, Spring, Elasticsearch, SQL, Sonar, Git, Grafana, Graphite.
Juni 2017 - Sept. 2017
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EatSmarter GmbH
- Calculate nutritional values for food recipe databases.
- Design solution pipelines integrating multi-source machine learning-based approaches.
- Deploy solutions to AWS infrastructures.
- Technologies: Spark, Scala, AWS, Docker, Python, Git, MySQL, CouchDB.
Nov. 2016 - Mai 2017
7 MonatenResearch for Master's Thesis
Technical University Munich (TUM)
- Topic: Knowledge Discovery in textual Databases for calculating nutritional food recipe values.
- Machine learning and NLP theoretical methods employed: Tokenization, Part-of-Speech Tagging, Stemming, Logistic Regression.
- Technologies: Spark, Scala, Docker, Python, Stanford-NLP.
Nov. 2016 - Mai 2017
7 MonatenTeam Lead of Software Development (Student Group 'Roboy')
Technical University Munich (TUM)
- Develop child-sized humanoid robot as part of interdisciplinary efforts.
- Lead the software development segment for design and engineering processes.
- Technologies: C++, ROS, CMake, Unix.
Juni 2016 - Sept. 2016
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EatSmarter GmbH
- Provide expert-rated indicators for recipe healthiness via supervised classification approaches.
- Consult and design solution for innovative problem-solving in management datasets.
- Technologies: Spark, Scala, AWS, SQL, Git, Docker, Python.
Apr. 2016 - Bis heute
9 Jahren 3 MonatenFreelance Data Engineering & Machine Learning Consultant
Self-employed
- Craft high-quality and scalable data-driven applications tailored to client needs.
- Create production-ready software leveraging machine learning techniques and big data architectures.
- Collaborate with both in-house software groups and non-technical stakeholders on problem-solving and clear perspectives.
- Conduct workshops for teams to independently develop scalable big data applications.
Okt. 2014 - März 2015
6 MonatenR&D - UAV Mission Planner
Elektroniksystem- und Logistik-GmbH (ESG)
- Bachelor’s Thesis: Design dynamic planner integrating into UAV mission software.
- Researched route planning algorithms for gas hazard mission zones.
- Technologies: C++, QT, CMake, Unix.
Mai 2013 - Sept. 2014
1 Jahr 5 MonatenSoftware Engineer - Aerosystems Avionics
Elektroniksystem- und Logistik-GmbH (ESG)
- Developed distributed middleware for critical safety modules in aeronautics.
- Adapted modular avionics architectures for Unix subsystems.
- Technologies: C, CMake, Unix.
Zusammenfassung
I am dedicated to help my clients build scalable, high-quality big data & machine learning solutions.
Senior Freelance Data Engineering & AI Consultant with eight years of experience.
Expert-level knowledge and experience in big data technologies Apache Spark & Apache Kafka.
Content creator on self-hosted blog, YouTube and social media.
Founder of the Spark Rockstars Academy: Teaching Data Engineers to Pro-Level.
Co-Founder of DayCaptain: The fastest time planning tool for effective developers.
Help my clients build scalable, high-quality big data & machine learning solutions.
Sprachen
Deutsch
Muttersprache
Englisch
Verhandlungssicher
Spanisch
Verhandlungssicher
Ausbildung
Okt. 2015 - Juni 2017
Technical University Munich
Master of Science, major fields of study: Machine Learning, Artificial Intelligence, Data Analytics, Entrepreneurship · Computer Science · München, Deutschland
Jan. 2014 - Juni 2014
Kwantlen Polytechnic University
Cloud Computing, Mobile Programming · Vancouver, Kanada
Okt. 2011 - Juni 2015
University of Applied Sciences Munich
Bachelor of Science, major fields of study: Mathematics, Algorithms, Data Structures, Software Engineering, Software · Computer Science · München, Deutschland
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