Alexander Eckert Email & Phone Number

Renningen, Baden-Württemberg, De

• Software engineering: - Component owner for ML web application backend on Azure that enables labeling, ML model training, and sped-up productization of computer vision deep learning models on AzureML (Python, Azure, AzureML, K8s, Postgres) - Development of service for ML Model Monitoring (Spark Streaming, Kafka, K8s, Postgres) - Component owner for ML model serving and deployment solution for automated optical inspection in manufacturing deployed in multiple plants and projects (Python, Docker, K8s, gRPC, Protobuf, TensorFlow, Grafana/Prometheus, Splunk, CI/CD)• Data engineering: Processing large data sets with distributed computing frameworks and tools such as Kafka/Spark/HDFS/TensorFlow

Armonk, New York, Ny, Us

Software Engineer, IBM Cloud SQL Query, IBM Watson and Cloud Platform• Cloud backend development of highly available globally distributed microservices, powering the serverless and cloud-native IBM Cloud SQL Query service (node.js, RabbitMQ, Spark, Jupyter Kernel Gateway, K8s, OpenWhisk, Protobuf, CI/CD, Devops). Service info: https://www.ibm.com/cloud/sql-querySoftware Engineer, IBM Db2 Warehouse, IBM AnalyticsDesign, development, test and continuous integration of scalable, distributed in-database analytics solutions with Apache Spark, Java/Scala and R (on-premise and cloud services). Product info: https://www.ibm.com/products/db2-warehouse• Full-fledged distributed multi-tenant RESTful Spark Cluster Management service for integration of Spark with IBM Db2 Warehouse (Java)• Open source SQL pushdown R packages to bridge the gap between SQL and R• Providing dockerized R-Studio deployments for interactive data analysis

Development of web applications for clients as freelancer during my studies

Karlsruhe, Baden-Württemberg, De

Tutor of the course "Analysis of large datasets" at the Institute for Program Structures and Data Organisation at KIT:• Advised students in classification and subspace search tasks (tools, principles)• Team Leader of the KIT team for the Data Mining Cup 2014 (2nd place, best german team)

Walldorf, Bw, De

• Developed algorithms for non-redundant association rule mining in C++ and R• Algorithm is shipped and part of the official Predictive Analysis Library (PAL) of SAP HANA

Karlsruhe, Baden-Württemberg, De

• Integration and evaluation of subspace outlier detection algorithms in KNIME• Implemented and extended an Eclipse-based Knime-Plugin in Java/Scala

Karlsruhe, Baden-Württemberg, De

• Implemented extensions for software KPIs for the Semantic Media Wiki (PHP)• Co-authored a book chapter about GlobaliSE and enterprise software alignment

Karlsruhe, De

• Development of a user management application for an automotive industry customer

Master Of Science (M.Sc.), Information Engineering And Management

Bachelor Of Science (B.Sc.), Information Engineering And Management