Simon Frey

AI for German legal professionals (§203 & BRAO compliant)

• Infrastructure: Built the entire cloud setup on GCP with Vertex AI, fully managed via Terraform
• Backend & Data: Set up Supabase as the data layer for a local-first React application
• Product Development: Contributed to product development in React alongside the founding team
• Security & Reliability: Conducted security audits of the production setup and led incident response

AI consulting and implementation for clients

• LLM Platform: Built and operated an in-house LLM solution for enterprise customers based on OpenWebUI, deployed in air-gapped and zero-trust environments
• Infrastructure: Automated cloud and multi-tenant infrastructure provisioning with Terraform across GCP and AWS
• Workshops: Delivered AI strategy workshops to management and engineering teams at SMB clients across Germany

Clients

• Nextaim (Sep 2024 – Mar 2025): Set up AWS infrastructure for internal LLM workflows via Terraform
• WetterOnline (Mar 2025 – Feb 2026): Built LLM-powered push notification automation replacing manual editorial workflows
• Conceptboard (Jun 2025 – Jan 2026): Developed image-model whiteboard detection prototype for GDPR-compliant platform

AI-powered video editing platform (sold to US marketing agency)

• Backend Architecture: Sole backend developer; designed and built the entire Go backend for automated video cutting
• LLM Integration: Integrated early-stage LLMs for content analysis and editing decisions, iterating through rapid model improvements
• Computer Vision: Built OpenCV-based frame analysis pipeline — face detection, attention point extraction, and scene relevance scoring
• Infrastructure: Set up and operated the full cloud infrastructure and deployment pipeline

Led 7-person SRE team; GCP platform serving 50M+ MAU across 50+ microservices

• Team Leadership: Managed a 7-person infrastructure and SRE team — hiring, mentoring, and defining technical roadmap
• Platform Ownership: End-to-end accountability for GCP infrastructure, Terraform IaC, and ArgoCD-based GitOps pipelines
• Kubernetes & Operators: Designed scalable microservice architectures; developed custom operators in Go
• Reliability Culture: Established SLA-driven KPIs, structured alerting with runbooks, and on-call rotations

Cloud migration and performance engineering

• Cloud Migration: Migrated data warehouse from AWS to GCP with zero downtime
• Performance: Achieved 20% response time improvement via multi-level caching architecture
• Observability: Built Prometheus & Grafana monitoring stack with proactive alerting and dashboards
• Incident Response: On-call rotations, root-cause analysis, and in-production troubleshooting

Deployment automation and performance optimization

• GitOps Automation: Built deployment automation with Jsonnet & ArgoCD
• Legacy Refactoring: Delivered 3x response time improvement on legacy services
• CI/CD Pipelines: Implemented and optimized build, test, and deployment pipelines

Backend development for fylr.io digital asset management (Working Student)

• Platform Rewrite: Contributed to the full rewrite of the Programmfabrik product into fylr.io (Go backend)
• Media Processing: Built media processing pipelines for transcoding files, images, and videos across formats
• Deep Zoom: Developed infinite deep zoom for JPEG XL files via proactive tiling and tile-serving to a frontend viewer