python, DevOps, MLOps, AWS

Design of multi account setup for scalable ML operations environment including access management,
policy management, Security Design and definition of governance processes
* Interface development and integration of on premise data sources.
* Design and implementation of Kappa architecture
* Set up data lake with data catalog and data governance as a centralized source for Data
science teams
* MLOps for existing ML solutions and migration to cloud platform
* Continuous monitored re-training process
* Scale out of existing ML models to multiple production lines
* ML and data quality monitoring system
* Migration of internal data processing logic to cloud native scalable serverless architecture
* Coordination and implementation of security requirements and network design with company
IT
Python, Terraform, AWS, Sagemaker, Glue, Athena, Serverless, GitHub Actions, MongoDB, IAM,
MLFlow, Grafana

* Predictive maintenance & machine learning
* Statistical forecasting methods
* Data mining methods
* Detailed production configuration based on data driven decision making
* Automated product quality classification
* Development of business analytics tool
* BI reporting & Dashboarding
* Data collection and web-based survey development
* Automated AI based waste classification
* AI based keywording of technical documents
* Project Management and Project Lead
R, Shiny, Python, Dash, VueJS, Gitlab (CI/CD), App Development, Kubernetes, Docker, NoSQL,
Hybrid & Multicloud Designs, AWS, Azure, PowerBI, AzureDevOps

* Data quality assessment / data screening
* Time series analysis
* Outlier detection / data error detection
* Statistics for industrial development reports




R, SQL, Latex