Senior Data & Machine Learning Engineer

• 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

• 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

• 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

• 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

• 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

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.

• 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