Clojure Expert in Germany

Consulting and prototype work on AI voice and multilingual agent systems, using AI-assisted delivery across realtime translation prototypes, call-centre automation, and voice-to-voice consultation workflows.

• Built and advised on AI voice / agentic conversation prototypes, including realtime translation and consumer-facing consultation experiences.
• Worked across call-centre automation, voice UX, product architecture, implementation tradeoffs, and prototype development.

• Development of the frontend of DEMIS (German Electronic Reporting and Information System for Infection Protection)

• Technologies: Angular, Typescript, Single-SPA MicroFrontend, Java, Docker, Kubernetes, Postgres, REST

• Prototype development of a compiler from HL7 FHIR to AngularFormly

• Technical consulting for greenfield development of AVIATAR 2.0
• Designing data pipelines and data architecture within the DataVerse Data Lake
• Planning and implementing Data Lake zones, data governance, data retention, and recovery strategies
• Collaboration with the Data Architecture and Platform Team for infrastructure scaling and design
• Close cooperation with stakeholders across Lufthansa Technik, including requirements management
• Hands-on development of data pipelines using Spark Structured Streaming and Databricks
• Proofs of Concept (PoCs) for Graph-Links and real-time analytics
• Provisioning data for AI and ML projects (e.g., predictive analytics)
• Technical design and implementation of near-real-time pipelines based on business requirements

• Re-architected a web application that had grown over years, modularizing tightly coupled components

• Reduced response times from several seconds to <50 ms

• Removed performance bottlenecks

• Simplified architecture so internal teams can implement features on their own again

• Extended the document management system with a standard CMIS (Content Management Interoperability Services) interface
• Implemented CMIS core services like navigation, access rights, search, CRUD operations, and versioning in Java
• Implemented based on RESTful / OpenAPI services
• Delivered as a fat-jar and native container image
• Deployed on-premises and serverlessly as an Azure Container Application using Terraform
• Improved team autonomy through infrastructure engineering and short feedback loops
• Established observability with OpenTelemetry, Azure Monitor, and Azure Logic Apps
• Introduced Terraform and trunk-based development processes
• Ensured quality with BDD tests in C# using SpecFlow and Testcontainers
• Created Azure DevOps pipeline integration tests
• Introduced cloud deployment processes
• Trained staff in cloud and Terraform

• Lead programmer, architect and deputy product owner
• Completed transition from zPDV to STEP
• Ensured quality of C++ and Perl sources through automated and manual checks
• Supported resolution of incidents and errors in testing
• Implemented batch for supplementary assignment of payment run numbers
• Implemented batch for distribution of SGB 2 information to the central payment unit
• Supported replacement of Solaris with Linux
• Upgraded gcc from 7.4 to 9.3
• Programmatically generated Makefiles from Borland projects for builds
• Extended funding data with new attribute “internship travel cost indicator”
• Programmatically generated XSD and WSDL files from IDL definitions
• Represented the product owner when needed
• Implemented batch for one-time payment processing
• Developed generator for Liquibase files
• Implemented and maintained regular anonymization of production data
• Supported migration from SLES 12 to SLES 15
• Supported introduction of mutual TLS
• Implemented batch for sending deletion impulses to EDA BE
• Organized script directory structure
• Investigated potential introduction of String-Latin and implemented minimal solution
• Remediated security findings identified by CheckMarx
• Supported PAP recalculations and general change notices
• Converted ERP interfaces from SOAP to REST
• Planned technical and business topics such as register modernization, cash register security, training costs, four-eyes principle

• Evaluation of RAG for legal advisory (build or buy)
• Evaluation and POC of RAG for an ERP time tracking module
• Consulting on foundation model selection
• Setup AI development environment (eliminating shadow AI)
• AI strategy consulting
• AI-assisted code creation and context engineering make change sets larger
• Strong software engineering expertise, code reviews and safeguarding through pipelines and domain-specific automated test cases

• Spearheaded general planning, prioritization, feature development and performance improvements of the Ruby on Rails e-commerce application; introduced continuous application profiling (monitoring for N+1s, p95s exceeding the threshold) and profiling memory for unexpected slowness, improved P95 latency from ~800ms to 500ms of the slowest endpoints.
• Introduced StatsD and Grafana dashboard to monitor and correlate business and developer metrics for early developer intervention, reducing the response time for broken vendor feeds from weeks to days.
• Integrated generative AI for improving product curation workflow, which improved curation time from hours to minutes.
• Introduced data warehousing using GCP as a datastore and Metabase as a visualizing tool, enabling teams to migrate from complex Excel files to robust SQL-backed dashboards.
• Designed and implemented standard webhooks and Shopify app for faster onboarding of product suppliers into the platform, which reduced vendor onboarding from weeks to hours.
• Deployed the website to Austria, Italy, Netherlands, France and Belgium regions.
• Translated the website to English and automated the curation process to translate to English, reducing curation time from 10 to 3 minutes.

• Technologies used: Ubuntu Linux, IntelliJ, Gitlab CI/CD, Java 17, Kotlin, TypeScript, Angular, Maven, Spring Boot, PostgreSQL, Hibernate, JUnit, Mockito, Docker, AWS, Keycloak, Kafka
• Designed and developed a new in-house project in a microservice landscape
• Backend with Java/Spring Boot and frontend with TypeScript/Angular
• Deployed the microservices on AWS Fargate

• Led the transition of an IoT cold-chain monitoring system to sustainable in-house ownership at a resource-constrained NGO.

• Worked hands-on across distributed AWS/Terraform infrastructure, Golang services, and Kafka Streams.

• Established a pragmatic technical strategy balancing system reliability with organisational capacity, including the Databricks platform migration, from cloud account setup to technical direction for the data engineers.