Senior Full Stack Engineer - Artificient Mobility Intelligence
Aachen, Germany
Oct 2022 – Mar 2026
Worked on two major mobility and AI-driven platforms: Gizo and Spectiv.
🚗 Gizo – Telematics Platform
Backend (.NET Core):
•Architected microservices backend with Clean Architecture principles
•Implemented video upload system with AWS S3 pre-signed URLs for device cameras
•Designed RSA public key + challenge-response authentication for IoT devices
•Built real-time features using SignalR for live telemetry streaming
•Developed trip tracking, accident detection, and live warning systems
•Implemented leaderboard and carbon footprint calculation services
•Created multi-tenant vehicle and device management APIs
Technologies: .NET Core, PostgreSQL, Redis, AWS S3, SignalR, Entity Framework Core
Frontend (Angular):
•Built responsive admin dashboard using Angular 14 with Material Design
•Integrated Leaflet maps for real-time vehicle tracking and geofencing visualization
•Implemented ECharts for analytics dashboards (trip statistics, driver performance, behavior trends)
•Added multi-language support using ngx-translate
•Developed PWA features with service workers for offline capabilities
Technologies: Angular, TypeScript, Angular Material, Leaflet, ECharts, RxJS
iOS Development (Swift):
•Developed native iOS telematics app with SwiftUI
•Implemented background location tracking and sensor data collection
•Built driver performance analytics, trip history, and leaderboard features
•Integrated real-time dashboard with backend APIs
Technologies: Swift, SwiftUI, CoreLocation, background processing
DevOps & Infrastructure (Kubernetes):
•Designed and deployed production Kubernetes clusters on Hetzner Cloud using K3s
•Implemented GitOps workflows with ArgoCD for automated deployments
•Configured Ingress-NGINX, cert-manager for TLS, and sealed-secrets for secret management
•Set up monitoring stack: Prometheus, Grafana, VictoriaMetrics, Loki
•Implemented backup solutions with Velero and storage with Longhorn
•Configured Hetzner infrastructure using Terraform and Helm charts
Technologies: Kubernetes, K3s, ArgoCD, Helm, Terraform, Prometheus, Grafana
🔧 Spectiv – AI Vehicle Damage Estimation Platform
Backend (.NET 9):
•Implemented microservices using Clean Architecture and CQRS patterns
•Built inspection workflow engine with Temporal for durable orchestration
•Designed RESTful APIs for damage assessment, vehicle inspections, and parts inventory management
•Developed multi-tenant fleet policy management system
•Implemented audit logging with comprehensive change tracking
•Created labor profiles and billing calculation services
•Built image processing pipelines using ImageSharp for damage photo analysis
•Integrated PDF generation with QuestPDF for inspection reports
•Implemented JWT authentication with role-based authorization
•Configured health checks and structured logging with Serilog and Seq
Technologies: .NET 9, PostgreSQL, Redis, Temporal, AWS S3, Entity Framework Core, FluentValidation
Infrastructure:
•Deployed services on Kubernetes with ArgoCD GitOps automation
•Configured Redis for distributed caching and session management
•Set up OpenAPI documentation with Scalar UI
•Implemented CI/CD pipelines with GitLab CI/CD
Technologies: Kubernetes, ArgoCD, Redis, Docker, GitLab CI/CD
Skills: .NET Core · Angular · Swift · SwiftUI · PostgreSQL · Redis · AWS S3 · SignalR · Kubernetes · ArgoCD · Terraform · Prometheus · Grafana · Clean Architecture · CQRS · Temporal · Domain-Driven Design
