Tobias Krüner

toom Baumarkt GmbH

• •Designed and implemented comprehensive observability strategy with custom metric exporters, enabling early incident detection and preventing multiple production issues
• •Bidirectional Snowflake synchronization using Spring Boot and Go
• •Modernization of secret management using Secret Manager and External Secrets Operator
• •Introduction of keda based horizontal autoscaling
• •Introduction of ArgoCD for GitOps based deployments and improvement of various CI/CD processes

FindYourWinematch

• •Implementation of multiplatform capable Augmented Reality Wine app
• •Setting up of a self-hosted Kubernetes cluster for hosting backend services and databases
• •Backend development using Spring Boot/Kotlin, Python FastApi and Go
• •Developed automated data acquisition system scraping over 1 million wine records with custom indexing for ML training pipelines
• •Training and transfer learning of Vision Transformers and textual embeddings for multimodal wine matching
• •Implementation of a cross platform capable Graphics and AR engine using Kotlin Multiplatform and OpenGL

Bundesdruckerei GmbH

• •Bootstrapping of a multi-client capable AI-Platform on top of Kubernetes
• •Management and operations of an on-premise Kubernetes Cluster in a highly secured environment
• •Implementation of secure authentication and authorisation mechanisms
• •Hands-on workshops with customer data scientists and stakeholders

toom Baumarkt GmbH

• •Architectural design and implementation of a Kafka-based CRM system
• •Bootstrapping of a self managed, Kubernetes powered infrastructure in GCP
• •Built foundational data pipelines feeding customer insights into CRM analytics and marketing automation
• •Developed initial microservice architecture integrating multiple SaaS platforms into a single source of truth for customer data
• •Establishment of the monitoring stack and continuous integration pipelines

EMnify

• •Management of a Kafka based company-wide central data infrastructure on AWS
• •Design and implementation of a platform for livestreaming telecommunication and payload events to multiple customer organisations
• •Implementation of live policy and charging functionality for mobile data traffic
• •Planning and execution of zero downtime migrations between Kafka clusters
• •Built engineering enablement tools—shared Terraform modules, GitHub CI templates, and custom Kafka CLI—adopted across multiple engineering teams

idealo internet GmbH

• •GraphQL Backend Development for the mobile apps
• •Introduction of Kafka Streams for real-time aggregations and data transformations
• •Designed and integrated high-volume user tracking event pipelines for analytics and personalization
• •Development of multiple Kafka stream applications
• •Implementation of a data pipeline for exporting app tracking data to a cloud-based datalake
• •Mentoring of team members in AWS and Kubernetes

techdev Solutions GmbH

• •Back and frontend development for projects in the blockchain industry
• •Development of Alexa and Google Assistant skills for multiple customers
• •Cloud infrastructure provisioning with Terraform
• •Prototyping of a customized Raspberry voice assistant
• •Development of an integration test library for voice assistants
• •Terraform provider implementation for Alexa Skills in Go

Iconmobile GmbH

• •Android feature development for the Oral-B app, including Bluetooth integration with smart toothbrushes
• •Development of a real-time face augmentation Android app using machine learning

Toll-Collect GmbH

• •Development and model building of a discrete event simulation of toll processes
• •Live visualization of characteristic numbers and geographical toll data

Siemens Industriegetriebe GmbH

• •Development and mathematical model building of a Java-based planning tool for optimizing stock