I’m an AI Engineer, Data Scientist and AI & Data Consultant based in Vienna, Austria, with 5+ years of professional experience delivering technology and data solutions across the DACH market. My expertise spans machine learning, AI infrastructure, agentic AI, data platforms, MLOps, production-grade LLM applications and data products.
I combine strong technical depth with curiosity, clear communication and a practical approach to solving complex problems. I’m comfortable moving between hands-on engineering, open-ended research and collaboration with people from different professional and technical backgrounds.
This site presents my professional experience, technical expertise, current areas of interest and the projects that best demonstrate the value I can bring.
I like difficult questions, intellectual curiosity and work with a purpose.
I’m interested in solving complex problems and turning ideas into practical results. My work combines technical depth, analytical thinking and clear communication, allowing me to move comfortably between engineering, data and business needs. I value careful experimentation, reliable evidence and solutions that are useful, understandable and built with a clear purpose.
Engineer
I enjoy seeing how the whole technical picture fits together—from Python, machine-learning and generative AI models to AI agents, APIs, infrastructure, deployment and observability. I’m especially drawn to building systems that are technically strong, reliable and genuinely useful in practice.
AI EngineeringMLOpsProduction Systems
Scientist
I’m curious about what data can reveal and why certain patterns appear. As a Data Scientist, I enjoy exploring complex datasets, testing ideas and using machine learning to turn observations into insights that are both reliable and useful.
Machine LearningTime Series AnalysisData Analytics
Consultant
I enjoy turning complex technical ideas into something clear, practical and genuinely useful. Consulting has taught me to listen closely, ask the right questions and connect technology with the people, problems and business goals it is meant to serve.
Technical AdvisoryStakeholder AlignmentBusiness Value
Most recent experience
Where my technical depth became practical delivery experience.
Advisory & Professional Services · DACH Region
Hewlett Packard Enterprise
Data Scientist · Technology Consultant
At HPE, I worked across enterprise AI, data, platform and transformation engagements for clients throughout the DACH region. My responsibilities moved between hands-on engineering, solution architecture and technical advisory—giving me practical delivery experience across the full path from infrastructure and data to production AI.
Delivery roles across my tenure
01
Designed and deployed end-to-end observability for a multi-tenant Kubernetes platform supporting a customer-facing digital AI avatar, monitoring GPU utilization, LLM inference, RAG pipelines, NVIDIA NIM, vLLM and Milvus. Built dashboards and alerting with Prometheus, Grafana, Loki and Alertmanager, and helped connect agentic AI services, APIs and data sources into reliable production workflows.
02
Contributed to an internal forecasting microservice spanning data ingestion, model training and deployment, plus streaming and batch processing. Exposed forecasting through REST APIs and supported ML lifecycle orchestration and stream-processing concepts using Apache Flink for integration with HPE Private Cloud AI, LLM applications and enterprise platforms.
03
Co-designed a Python similarity-search algorithm using Jaccard, Pearson and Spearman evaluation metrics to improve enterprise metadata retrieval. Applied Neo4j Graph Data Science and Cypher to connected-data analysis, and developed Kafka-backed transformation and supervised metadata-classification workflows supported by PostgreSQL, Neo4j and Docker.
04
Developed and scheduled Apache Airflow DAGs for a lottery-based fan-engagement platform at a professional sports organization, providing reliable and auditable orchestration of its data-processing pipelines.
05
Designed and validated zero-downtime certificate rotation for HPE Ezmeral Runtime Environment, enabling certificate updates without service interruption. Completed post-installation configuration and stabilization work to support reliable production deployments.
06
Developed Python workflows for file retention, log rotation and server-side data lifecycle management at an international trade and distribution company. Automated scheduled operational tasks and supported server upgrades, certificate renewals and runtime migrations.
07
Facilitated and documented E2CAF stakeholder workshops for a national construction company, mapping data capabilities, access policies and RBAC models. Supported the creation of a Transformation Business Office to strengthen governance, coordination and decision-making across its edge-to-cloud transformation program.
08
Completed HPE-NVIDIA, HPE Private Cloud AI and Azure ML programs covering AI infrastructure, Generative AI, multimodal AI and MLOps deployment patterns. Built an autonomous LangChain agent for an LLM hackathon, shared delivery practices through HPE DeliverAI and presented aerial-image analysis and HPE Generative AI solutions to enterprise customers.
Want to exchange ideas or talk about something interesting?
I’m always happy to connect with thoughtful people, discuss ambitious technical ideas and learn about work that matters. I’m also open to contributing to meaningful data and AI projects where my experience and technical know-how can add real value.