Apache Iceberg Expert in Germany

• Develop and demonstrate solutions using GenAI software like langchain, vercel ai sdk, copilotkit
• Work with customers to understand their challenges and provide the best solutions based on open-source data products
• Build RAG and GraphRAG solutions using Neo4j, lancedb, and Postgres
• Deploy a LLMOps platform using kubernetes, terraform, helmfile, Arize phoenix, mlflow
• Architect and build data pipelines using dbt, Trino, Spark, Iceberg, Airflow, ArgoCD, terraform, kubernetes
• Delivered user-centred technical strategy for Agriculture 4.0 and precision livestock farming, helping my client secure funding from Bpifrance
• Delivered a prospecting tool for a leading French solar carport installer, using geospatial computing (GIS), speeding up the sales process
• Built digital twin architecture for solar carports and EV chargers, making real-time monitoring and smart charging possible

• Creation and implementation of a holistic change management strategy for smooth SAP S/4HANA implementation for public customers.
• Presentation of the change management strategy in workshops with various stakeholders, including end customers, executives, department heads and end users, in order to create a common understanding of the changes.
• Creation of detailed change narrative & concept including iterations with key stakeholders to in order to accompany the various phases of the SAP S/4HANA implementation.
• Project Management and implementation of training programs.

• Defined a generic, universal system platform for XR (AR, VR) use cases as part of the European IPCEI initiative
• Evaluated available options for backend, streaming and client implementations
• Developed PoC implementations and conducted technical evaluation of potential components
• Led the development team and defined the target system architecture for a complete end-to-end solution
• Designed and integrated GenAI PoCs (LLM, time series, prediction, agents)
• Researched NeRFs and Gaussian Splatting for XR content creation and analyzed methods to measure and reduce system latencies
• Worked on GPU scheduling, CUDA and related topics
• Defined and implemented backoffice and end user dashboards using Grafana and Superset
• Used Jaeger tracing to analyze specific events
• Defined a GenAI-based automatic alerting feature for specific events and event clusters with KPI values
• Integrated AR/VR/XR IoT devices
• Collaborated with business development and UX teams in a parallel design thinking track to align technical and customer journey scopes
• Integrated the new services and platform into existing telco environments and analyzed tools like Camara for partial integration and handover scenarios

• Developed and implemented an operating concept

• Created and executed a migration plan

• Automated administrative tasks in on-premises environments

• Provided 3rd-level support

• Created documentation (Confluence) and managed tasks (Jira) using agile Scrum methods

• Implemented and monitored disaster recovery plans and backup strategy in Azure

• Planned and carried out software and system upgrades

• Advised on selecting and implementing new technologies and tools

• Trained employees on new technologies and processes

• Conducted code reviews to ensure quality and adherence to best practices

• Advised the Product Owner and other stakeholders on developing and refining solution approaches and concepts

• Responsible for the stable operation of a hybrid on-premises/Azure environment in a highly regulated setting (critical infrastructure)

• Worked closely with business units, IT security, and external service providers to align operational and migration concepts

• Designed and executed the migration of central on-premises systems to a hybrid Azure environment (including landing zone, network segmentation, backup, and disaster recovery strategy), establishing the technical foundation for future cloud governance in the KRITIS sector

• Introduced Ansible & AWX to fully automate formerly manual operational documentation

• Result: Replaced over 100 operation manuals, reduced operational effort by 80%, and created a sustainable foundation for scalable operational processes

• Employer branding (internal and external, career pages, applicant tracking systems, job ads, findability)
• Candidate experience (recruiting processes, documents, candidate outreach, onboarding)
• Senior interim recruiting (point of contact, applicant handling, job ads, interviews, active sourcing)
• Speaker on the topics of employer branding and recruiting

Selected projects:

• Interim senior recruiter for an industrial group (worldwide, 24 hours/week): 360-degree recruiting for engineering, technical IT, specialists and managers, ad management, active search, online and on-site interviews, applicant handling, hiring of 15–20 employees per year, assignment of almost 3 years
• Interim senior recruiter for a tax advisory firm (6 locations, 70 employees): consulting on employer branding, career pages, job ads, wording, ad management, activating employee referrals, full recruiting, hiring of 20 employees in 4 months, increase in applicant inflow from 3–4 to 20–40 applicants/month
• Recruiting consulting for medium-sized companies with several branches (remote + on-site): status analysis, development and implementation of measures
• Consulting for medium-sized companies on career pages, job ads and external presentation (100% remote): status analysis, competitive comparison, suggested measures, support with implementation

Online webinar topics: employer branding; designing career pages optimally; effective job ads; candidate journey; successful active searching; digital talent acquisition

• Help developers with individual live coaching to become pro-level Apache Spark engineers
• Organize and host multi-day, tailored Apache Spark workshops for development teams
• Create educational technical content on a self-hosted blog, YouTube, and social media

• Developed automated ETL pipelines with AWS Glue and Athena to ensure consistent data quality and governance requirements
• Implemented validation, anonymization, and encryption measures for data in compliance with GDPR
• Optimized cloud costs by introducing FinOps practices and increased transparency for business units
• Monitored performance, performed root cause analyses, and ensured adherence to SLAs
• Supported data and solution architects in building scalable data models for ML and analytics scenarios

• Architected and implemented an enterprise-grade AI Agent Platform leveraging Retrieval Augmented Generation (RAG) architecture to enhance clinical data insights.
• Established robust CI/CD pipelines for LLM applications using CDK and Jenkins, significantly reducing deployment times.
• Implemented comprehensive observability solutions that increased agent reliability across pharmaceutical environments.
• Designed scalable AI workflows with advanced orchestration that optimized context handling for enterprise data sources.
• Technologies: AI Agents (LangChain, LangGraph, Bedrock, Smolagents, Streamlit); LLM Operations (Tracing, Testing, Evaluation, LangSmith, LangFuse); Infrastructure-As-Code (AWS CDK, Terraform, Typescript, Jenkins); Vectors, Embeddings, RAG (OpenSearch, pgvector, PDF Extraction)