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AI, data, cloud and DevOps engineering.

I build AI applications, real-time voice agents, Python backends and data platforms, from architecture to implementation, testing and operation. My work spans AWS, Azure, Google Cloud and coding agents, backed by AWS Professional certifications.

Disciplines

AI Engineering

  • LLM applications & agents
  • Agentic workflows & loops
  • Claude Code, Codex & MCP
  • QualityLayer
  • Voice & text agents: LiveKit, SIP, WebRTC
  • RAG architecture
  • Vector search & embeddings
  • Context engineering
  • Evaluation & testing: latency, behavior, task completion & cost

Cloud & DevOps

  • AWS multi-account architecture
  • Azure & Google Cloud
  • Event-driven & serverless
  • Lambda, DynamoDB & APIs
  • Python APIs: FastAPI, Pydantic & gRPC
  • EventBridge, SNS & SQS
  • Kubernetes & containers
  • Infrastructure as code: CDK & Terraform
  • CI/CD pipelines
  • Security & governance
  • Observability: OpenTelemetry & Prometheus

Data Engineering

  • Pipelines & ETL
  • Lakehouse: Iceberg, Delta
  • Spark & Databricks
  • SQL & NoSQL stores
  • Streaming & event data
  • MLOps & model serving
  • Analytics foundations

ML & Embedded

  • Computer vision
  • TensorFlow & PyTorch
  • Edge AI: Jetson, TensorRT
  • Embedded C/C++, RTOS
  • Embedded Linux
  • IoT: MQTT, LoRaWAN

Languages

  • TypeScript
  • Python
  • SQL
  • Go
  • C / C++
  • PySpark
  • Bash

Certifications

  • Claude Code Partner Badge — Anthropic
  • AWS Certified DevOps Engineer — Professional
  • AWS Certified Solutions Architect — Professional
  • AWS Certified Data Analytics — Specialty
  • AWS Certified Solutions Architect — Associate
  • AWS Certified Developer — Associate
  • AWS Certified SysOps Administrator — Associate
  • AWS re/Start Accredited Instructor
  • CNCF Kubernetes & Cloud Native Associate
  • HashiCorp Certified Terraform Associate
  • Microsoft Certified Azure Fundamentals
  • Microsoft Certified Azure Data Fundamentals

Academic background

2015 — 17

M.Sc. Computer Engineering — HS Pforzheim, grade 1.3

Design and implementation of complex embedded systems; machine learning for embedded applications.

Thesis: Investigation of neural networks — design, training and usage

2011 — 15

B.Sc. Applied Informatics — HS Ravensburg-Weingarten, grade 1.5

Automation engineering and information networks.

Thesis: Development of a low-cost thermal imaging camera — the origin of DIY-Thermocam