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Independent Full-Stack & GenAI Solution Developer | Google Cloud Professional Cloud Architect
Frankfurt, Deutschland
Weltweit
Bachelor of Science in Informatik und Mobile AnwendungenÜber mich
Google Cloud Architect & GenAI Engineer | Production-Ready AI Solutions | GCP Professional Certified | Founder of Kaado AI
Skills
AI AgentsRAGVertex AIIAMAPIsKünstliche IntelligenzAndroid Application DevelopmentIpad AppAWS CLIAzure Machine LearningS3 BucketGenerative AIGitLabGitlab-CiKubernetes
TECHNICAL EXPERTISE
Cloud Architecture & Infrastructure
Google Cloud Professional Cloud Architect certified (2026). Hands-on expertise in multi-region architectures, landing zones, IAM, security baselines and compliance.
GCP: GKE, Cloud Run, Compute Engine, BigQuery, Cloud SQL (PostgreSQL), Cloud Storage, Vertex AI, VPC/VPC-SC, Cloud CDN, load balancing, Cloud KMS, Secret Manager, Cloud Armor, Cloud Build, Logging/Monitoring, Terraform, gcloud.
Additional: AWS (EC2, S3, RDS/Aurora, ECS, CloudWatch, SageMaker, Lambda basics), Azure (AKS, Azure OpenAI), hybrid and multi-cloud architecture.
Generative AI & AI Security
Production-grade enterprise GenAI with a focus on privacy, security and compliance.
LLMs: OpenAI GPT-4/4o, Anthropic Claude, Google Gemini, Hugging Face models.
Orchestration: LiteLLM routing/fallback, LangChain basics, prompt/context engineering.
RAG: end-to-end pipelines with pgvector and Vertex AI Vector Search.
PII detection/redaction: hybrid ML and rule-based systems; German, English, Arabic and Korean.
AI guardrails: prompt injection detection, content filtering, PII masking.
Agentic AI and AI agent training.
EU AI Act Articles 9–15: technical implementation covering risk management, data governance, documentation, logging, transparency, human oversight and robustness.
Backend & Application Development
Java: Spring Boot, Quarkus; production-grade enterprise microservices.
Python: FastAPI, asyncio, Celery.
Node.js/Express, REST APIs, WebSockets.
Apache Kafka, event-driven and real-time systems, service mesh basics.
Frontend/mobile: Angular (enterprise production), React/Redux, Flutter/Dart, React Native, TypeScript, JavaScript, HTML/CSS.
DevOps, Databases & Engineering
Docker, Docker Compose, Kubernetes (GKE, AKS basics), Terraform, Jenkins/Groovy, GitLab CI, GitHub Actions, Linux/Unix, Bash, NGINX, observability, SonarQube, OpenGrok, Git. PostgreSQL/SQL expert, pgvector, Cloud SQL, AWS RDS/Aurora, MongoDB basics.
Industry Experience
Automotive (production-line automation, enterprise AI security for a major German premium OEM), shipping/logistics (DevOps, CI/CD), education (social platforms), mobility (ride-sharing apps), retail analytics (ML sales forecasting).
Own Products
Kaado AI: Founder and solo developer; mobile AI app launched on iOS App Store and Google Play.
Local AI Infrastructure: Self-hosted production AI stack using LiteLLM, PII privacy gateway, pgvector RAG, n8n and Docker Compose.
Methodology & Certifications
Google Cloud Professional Cloud Architect (2026). Agentic AI training. Agile (Scrum/Kanban), TDD, JUnit, pytest, code reviews, pair programming, architecture decision records, technical advisory and cross-functional collaboration.
Continuous learning in LLMs, AI security, EU AI Act, DORA and GDPR.
Target Industries
Enterprise and mid-market GenAI initiatives, particularly automotive, industrial, financial services, insurance and public sector (from 2027).
Erfahrung
Berufserfahrung5 - 10 Jahre
Freelancer seit2023
Sprachen
ArabischgutDeutschverhandlungssicherEnglischverhandlungssicherFranzösischgut
Projekthistorie
End-to-End-Entwicklung und Launch einer mobilen AI-Anwendung, die
Lernmaterialien (Vorlesungsnotizen, PDFs) via LLM-Verarbeitung in
interaktive Lernkarten umwandelt. Live im iOS App Store und Google
Play Store.
Verantwortlich für Produkt-Konzeption, Backend-Architektur, mobile
Frontend-Entwicklung, Deployment-Pipeline, App-Store-Submission-
Prozesse sowie den laufenden Betrieb inkl. Monitoring und Nutzer-Support.
Technologien:
React Native, Dart/Flutter, Python, FastAPI, PostgreSQL, LLM APIs
(OpenAI, Anthropic), RAG,Agentic, iOS App Store, Google Play Store, CI/CD
Beschreibung:
Entwicklung produktionsnaher Backend-Systeme zur Steuerung und Optimierung
von Produktionsprozessen.
Entwicklung skalierbarer Microservices mit Spring Boot (Java) für die
Automatisierung und Überwachung von Produktionslinien. Einsatz von Apache
Kafka zur Verarbeitung großer Datenmengen in Echtzeit sowie zur ereignis-
gesteuerten Systemintegration.
Technologien:
Java, Spring Boot, Apache Kafka, JUnit, Docker, GitLab CI, REST APIs,
PostgreSQL
Automatisierung und Überwachung komplexer CI/CD-Prozesse sowie
Optimierung der Deployment-Pipelines.
Implementierung von Automatisierungen mit Groovy zur Effizienzsteigerung
von Build- und Release-Prozessen. Einrichtung und Betreuung von Monitoring-
Systemen zur System- und Performance-Überwachung. Integration und Wartung
von SonarQube zur statischen Codeanalyse und Qualitätssicherung.