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Portfolio / GERMANY / WORLDWIDE
JOAB DAVID
ENGINEERING PRODUCTION AI SYSTEMS THAT SHIP.
OPEN TO ROLES IN MUNICHAnswers you can verify.
Grounded retrieval, streaming responses, tool execution, and confidence-aware citations.
Answers you can verify.
Grounded retrieval, streaming responses, tool execution, and confidence-aware citations.
Curated for you
Product in motion
Don’t take my word for it.
Watch it work.
Short, distraction-free walkthroughs show the same product across web and iPhone. Add your recordings once; the template handles playback everywhere.
Animated placeholder — replace it with your real screen recording.
Try live demoEngineering evidence
Built beyond
the happy path.
Concrete implementation decisions that make the product maintainable, deployable, observable, and fast.
Prompt, retrieval, tools, memory, policy, and evaluation modules expose typed Pydantic contracts.
ECS Fargate, blue-green releases, Terraform, GitHub Actions, and automatic rollback alarms.
Redis semantic cache, parallel retrieval, streamed OpenAI responses, and connection pooling.
DeepEval faithfulness, answer relevance, retrieval precision, and adversarial regression suites.
System architecture
Control flow,
without the mystery.
Each request is authenticated, routed, observed, and returned through explicit boundaries. Hover a node to focus its responsibility.
- HTTPS
- SSE
- WAF
- Rate limits
- Next.js
- Cognito
- FastAPI
- LangGraph
- SQS
- EventBridge
- Embeddings
- Reranker
- OpenAI API
- Guardrails
- Redis
- TTL
- Postgres
- pgvector
- DeepEval
- Langfuse
- OTel
- CloudWatch
Selected work / 4 projects
Built to be used.
Designed to be remembered.
About me
Machine Learning Engineer · Germany
I build complete AI products - from model experiments to reliable production systems.
I am a full-stack Machine Learning Engineer based in Germany, specializing in LLM systems, retrieval-augmented generation, and computer vision. My work spans multi-agent applications, scalable ML pipelines, backend infrastructure, and polished frontend experiences, with production deployments on AWS. I have contributed to visual-inspection systems at InspectifAI and OCR tooling at DATEV, and hold an M.Sc. in Computational Engineering from FAU Erlangen-Nurnberg.
Technology stack
Tools I use to ship
production AI.
From model development to APIs, interfaces, databases, cloud infrastructure, and deployment.