As a freelance software and DevOps engineer based in Heidelberg, I focus on GenAI and LLM platform engineering, delivering solutions for AI-driven applications, including model routing, RAG pipelines, fine-tuning, embeddings, moderation workflows, and observability for production AI workloads. I also design and implement cloud-native architectures, distributed systems, and DevOps workflows to ensure scalable, reliable, and secure software solutions.
Key Expertise Areas
- GenAI / LLM Platforms: Azure OpenAI APIs (chat, embeddings, moderation, fine-tuning), vLLM, RAG pipelines, model routing, multi-tenant AI deployments, observability for AI workloads (Prometheus, Grafana, OpenTelemetry)
- Cloud-Native & Distributed Systems: Microservices, Kubernetes-native development, backend development, distributed systems
- Data Engineering & Storage: PostgreSQL, MongoDB, Redis, data pipelines
- DevOps & CI/CD: Jenkins, ArgoCD, GitOps, canary rollouts, containerization, orchestration
- Infrastructure as Code & Automation: Terraform, Crossplane, Ansible, HashiCorp tools (Vault, Consul)
- Observability & Monitoring: Prometheus, Grafana, OpenTelemetry, tracing/logging
- Cloud Platforms & Services: AWS (API Gateway, VPC, CloudWatch, EKS, S3, Glacier, Polly, SQS, SNS, IAM), Cloud Foundry
Programming Languages (ordered by proficiency)
- Go(lang)
- Python
- Node.js
- Java (Spring Boot)
DevOps & Toolchain
- Containerization & Orchestration: Docker, Kubernetes, Helm, Operators, K9s
- CI/CD & Deployment: Jenkins, ArgoCD, GitOps, canary rollout
- Infrastructure Automation: Terraform, Crossplane, Ansible, HashiCorp (Vault, Consul)
- Observability & Monitoring: Prometheus, Grafana, OpenTelemetry, Promitor
- Version Control: GitHub, GitLab