Engineer and consultant for the development of a platform to host machine learning and AI models within a complex regulatory environment.

• Co-architect and developer for the cloud infrastructure and APIs, especially for model life-cycle management, accounting, monitoring, scaling and auditing
• Productionalized several predictive and GenAI models for life and health insurance applications (GP report analysis, return-to-work prediction, comorbidity scoring)
  
• Increased inference throughput and latency for a pilot financial portfolio risk model by 6x-8x
• Introduced a model governance framework for compliance with the EU AI Act and other international regulations
• Designed and implemented technical concepts for a feature store, request and response enrichment, model orchestration, high availability and disaster recovery
  

• Built pipelines for data ingestion, pre-processing, feature engineering, model training, evaluation and re-training
  
• Integrated the solution with client?s central analytics offering
• Provided consulting for IT security and data governance topic

• Responsible for the cloud architecture
• Focus on security, model governance, hosting, infrastructure
• Productionalized and improved several vision and natural-language processing (NLP) models, including satellite imagery segmentation and object detection, and PDF segmentation, text extraction, named entity recognition and summarizing
  
• Greatly improved model developer experience with native integrations, automation and training material, documentation

• Migration of a core advertising service to Google Cloud Platform
  

• Built and operated the new cloud-native runtime
• Infrastructure-as-code and CI/CD for physical on-premise, hybrid cloud and GCP
  
• Improved protection against customer account take-over attacks and implemented DDoS protections
  

• Developed infrastructure-as-code and continuous delivery tooling and pipelines
• Supported the cloud migration and go-live in several countries
• Worked on the core runtime platform with special focus on security, CI/CD and observability
• Provided training and cloud consulting for development teams

• Created CI/CD pipelines for deployment to various on-premise, multitenant AWS, OEM intranet, showroom and point-of-sale environments

• Introduced life-cycle management for master data, transaction data, code, deployment artifacts, vendoring / customization
• Setup performance and commercial KPI monitoring and alerting
• Closely collaborated with client to deliver increments and protect their commercial interests under challenging circumstances

• Fully automated the provisioning of AWS accounts including network integration, monitoring and alerting, identity management, security (AAA, IDS, IPS, network and API level), compliance, cost optimization etc. Scope: 100+ AWS accounts, 500+ applications
• Designed and implemented cloud and network architectures, the custom Landing Zone and various other in-house systems, such as a custom API-driven, central SSH access management system using OIDC, certificates, AWS Lambda and fallback systems
• Managed migrations of large databases, business intelligence, container runtimes and other critical infrastructure components
• Enabled an end-to-end DevOps workflow for Scrum teams, including frictionless environment access which is fully traceable to stories/incidents, staff, access type.
• Provided training to developers and other technical staff

• Managed a complex, business-critical data center migration including changing of ISPs, replacing routers, switches, wiring, hot replacement of the central datacenter firewall, introducing DDoS protection and cloud integration, external DNS etc.
• Identified and realized 2M+ one-time and 1M+ annual savings in IT spending
• Introduced / improved license management and cost controlling processes
• Managed various infrastructure and IT governance projects
• Point-of-contact for requests from business and management
• Implemented agile development processes such as Scrum in the development teams which I managed

• Improved release cadence for the legacy stack from three months to below one month
• Added support for immediate releases for several critical components
• Reduced maintenance windows from 4-6 hours of full downtime to 30-90 minutes of limited service
• Introduced support for green-blue deployments for many important business partners
• Introduced integrated DevOps workflow with automated regression, acceptance and performance testing

• Focussed on deployment orchestration and configuration management for a hybrid stack of Spring microservices and complex Java EE monoliths with Oracle backends
• Drastically reduced the upgrade downtime for the global-ex-CE stack, virtually eliminating the previously common problems and the need for manual interventions, in part by executing ~60% of all tasks in parallel and using staging/cutover processes
• Developed a custom parameterization engine

• Developer for TCU (transmission control unit) firmware as well as simulators and models.
• Optimized and integrated development, build and testing processes across feature and software development
  teams.
• Improved build times from 90+ to ~15 minutes, greatly improving developer efficiency and testing times
• Principal developer for Hardware-in-the-loop, Software-in-the-loop and Model-in-the-loop simulators for commercial vehicle transmissions
  

• Design and development of a data ingestion, storage, and processing system for an industrial plant and a laboratory environment.
• Integration with LabVIEW and JMP
  
• Consulting around intellectual property protection at client sites