I design and build cloud-native ML & data platforms, automated ML pipelines, and production-grade infrastructure that reduce manual work, improve reliability, and accelerate delivery for data & engineering teams.
I’m a Germany-based Data & Cloud Engineer focused on building cloud-native ML & data platforms, automated model pipelines, and production-ready infrastructure. I help teams move from scattered data and prototype notebooks to robust, observable systems — covering everything from data ingestion and transformation to model deployment, monitoring, and lifecycle management.
Design and build cloud-native ML & data platforms on Kubernetes and major clouds. From ingestion and storage to serving and access layers, with security, reliability, and scalability by design.
End-to-end automation for training, validation, packaging, and deployment of ML models. CI/CD for ML, model registries, feature pipelines, and reproducible workflows from experiment to production.
Enterprise-grade observability for data & ML workloads: logging, metrics, dashboards, SLOs, data & model quality checks, audit-ready tracking of runs, models, and data lineage.
Infrastructure-as-Code and CI/CD pipelines for ML and data workloads. Kubernetes clusters, environments, and deployment workflows that keep platforms stable while enabling fast delivery.
Selected projects showcasing ML & data platform engineering, MLOps, and automation.
Freelance | Role: Cloud & MLOps Engineer
Self-initiated showcase project (no client data). Built a reproducible pipeline demonstrating churn prediction with MLflow tracking, testing, and containerized deployment. Includes a reproducible MLOps-style pipeline with tracked experiments and automated deployment.
Outcome: Reproducible training pipeline with CI/CD, MLflow tracking, and automated artifact management.
Insurance | Role: Data Engineer
Migrated existing data model and ETL workflows from AWS Glue to PostgreSQL. Extended the data model to support new reporting needs and created Tableau dashboards for clearer and faster data insights.
Outcome: Reduced infrastructure costs and improved data processing speed. Resolved recurring data integrity issues.
CBTW | Role: Data & ML Engineer
Rebuilt ingestion pipelines with validation and error recovery. Reduced latency and improved reliability across all data jobs. Prepared the platform for ML automation and production-ready pipelines.
Freelance | Role: Data & Cloud Engineer
Self-initiated showcase project (no client data). Built a reproducible pipeline demonstrating automated data collection and analysis of freelance project postings with an LLM scoring how well a profile matches each listing, plus API integration. Includes a reproducible MLOps-style pipeline with tracked experiments and automated deployment.
Outcome: Fully automated workflow from data collection to AI-based matching with CI/CD and observability, including an integrated web app and API.
CBTW | Role: Data & Platform Engineer (Viya Platform Team)
Provisioned, operated, and extended a containerized SAS Viya environment on Kubernetes as a SaaS offering; responsible for stability, maintenance, troubleshooting, and platform evolution. Provisioned and operated a Kubernetes-based analytics platform designed for MLOps workloads with monitoring, scaling, and incident response.
Outcome: Reliable, scalable Viya platform with documented runbooks and fast incident resolution.
Insurance | Role: Data & Platform Engineer
Ran a production SAS 9.4 platform for risk and reporting workloads, including hotfix/security patch rollouts and incident analysis with business teams. Includes observability, release management, and automated workflow operations for a regulated analytics platform.
Outcome: Stable, audit-ready platform with fewer production incidents.
Bank | Role: SAS Developer
Digitized a manual account-statement process in SAS 9.4: co-designed with business/architecture and built an STP app with input UI, business logic, and SAS code.
Outcome: Cycle time reduced from weeks to days and ready for pilot and production rollout.
Insurance | Role: Migration Engineer / SAS Modernization
Led migration from SAS 9.4 to SAS Viya and modernized existing workloads for the target platform. Prepared the platform for ML automation and production-ready pipelines.
Outcome: Viya target architecture with migrated core processes and clear cutover steps.
Freelance | Role: Data & ML Engineer
Build a deep learning model to detect clouds in satellite images using Encoder-Decoder architecture with resnet, resnext & efficientnet backbones.
Outcome: Achieved top 3% ranking on DrivenData.
Need help building a reliable ML & data platform, automating ML pipelines, or operating cloud-native analytics systems? Tell me about your stack and challenges, and we’ll see how I can help.