Context:

Implementation of an industry automation solution integrating computer vision and robotics to enhance efficiency and quality control in a precision manufacturing environment.

Responsibilities:

• Developed computer vision algorithms for automated inspection of AFM probes within a robotics-based production workflow
• Established and maintained on-premise GitLab CI/CD pipelines in an air-gapped environment to support controlled software releases
• Introduced agile practices and collaborated closely with production teams to translate operational requirements into structured technical solutions

Context:

Backend architecture and deployment of a multi-tenant white-label digital ordering platform enabling restaurant owners to operate branded online sales channels.

Responsibilities:

• Designed and maintained multi-environment infrastructure (staging/production) using AWS CDK and CloudFormation
• Built and operated serverless backend services (AWS Lambda, event-driven integrations)
• Implemented automated CI/CD pipelines to ensure controlled cross-environment releases
• Optimized platform scalability to handle peak traffic periods (e.g., lunch and dinner surges)
• Established observability with structured logging, CloudWatch dashboards, and AWS X-Ray tracing

Context:

Development of an industrial IoT?based operations monitoring platform for a German packaging manufacturer, providing real-time visibility into production processes.

Responsibilities:

• Built the backend foundation for a real-time monitoring platform for industrial packaging machines
• Integrated edge devices with AWS ingestion services to reliably stream machine metrics
• Provisioned and managed infrastructure using AWS CloudFormation
• Implemented Grafana dashboards to deliver operational insights to business stakeholders

Context: 

Development of an industrial IoT?based opera[ons monitoring pla5orm for a German packaging manufacturer,

providing real-[me visibility into produc[on processes.

Responsibilities:

• Provisioned cloud infrastructure with Terraform, running containerized workloads on Amazon EKS
• Built GitLab CI/CD pipelines enabling controlled multi-region rollouts
• Integrated cloud-hosted ML inference services (AWS Hong Kong) into on-site manufacturing workflows
• Optimized cross-region network routing using AWS CloudFront and backbone infrastructure, reducing latency and improving reliability
• Implemented observability with Datadog (metrics, dashboards, alerting) to ensure stable system operations