JOAB JOHANAN

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Portfolio / GERMANY / WORLDWIDE

JOAB DAVID

ENGINEERING PRODUCTION AI SYSTEMS THAT SHIP.

OPEN TO ROLES IN MUNICH
chat.yourname.dev
PRODUCTION RAG ASSISTANT

Answers you can verify.

Grounded retrieval, streaming responses, tool execution, and confidence-aware citations.

Knowledge workspace
Active users18K chats
Reliability99.9%
9:41● ◒ ▰
PRODUCTION RAG ASSISTANT

Answers you can verify.

Grounded retrieval, streaming responses, tool execution, and confidence-aware citations.

Knowledge workspace

Curated for you

Featured projectLLM Chatbot
Web appiOS
Role

LLM / Full-stack Engineer

Stack
  • Next.js
  • FastAPI
  • OpenAI API
  • Redis
  • Postgres
  • AWS
Year

2026

Impact

73% faster resolution

01 / 04

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.

Browser walkthrough
Autoplay · Muted · Loop
NEXUS
PRODUCTION RAG ASSISTANT

Answers you can verify.

Summarize the policy and cite every claim
Personalized resultKnowledge workspace
Ready

Animated placeholder — replace it with your real screen recording.

Try live demo
iPhone walkthrough
Autoplay · Muted · Loop
NEXUS
PRODUCTION RAG ASSISTANT

Answers you can verify.

Summarize the policy and cite every claim
Personalized resultKnowledge workspace
Ready

Animated placeholder — replace it with your real screen recording.

Try live demo

Engineering evidence

Built beyond
the happy path.

Concrete implementation decisions that make the product maintainable, deployable, observable, and fast.

01
Modular programming16 packages

Prompt, retrieval, tools, memory, policy, and evaluation modules expose typed Pydantic contracts.

02
DeploymentMulti-AZ

ECS Fargate, blue-green releases, Terraform, GitHub Actions, and automatic rollback alarms.

03
First token420 ms

Redis semantic cache, parallel retrieval, streamed OpenAI responses, and connection pooling.

04
Quality gate94.2%

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.

Live production request LLM Chatbot
01User requestWeb / iPhone
  • HTTPS
  • SSE
02API GatewaySecure public edge
  • WAF
  • Rate limits
03FrontendStreaming experience
  • Next.js
  • Cognito
04Agent backendTyped orchestration
  • FastAPI
  • LangGraph
05Async servicesLong-running tools
  • SQS
  • EventBridge
06RAG retrievalGround every claim
  • Embeddings
  • Reranker
07Model + toolsReason, call, stream
  • OpenAI API
  • Guardrails
08Semantic cacheLow-latency memory
  • Redis
  • TTL
09Knowledge storeVectors + history
  • Postgres
  • pgvector
010EvaluationRegression gates
  • DeepEval
  • Langfuse
011ObservabilityTraces + alerts
  • OTel
  • CloudWatch
Client Edge AWS Backend Intelligence Data Evaluation

Selected work / 4 projects

Built to be used.
Designed to be remembered.

About me

Machine Learning Engineer · Germany
Joab David Johanan outdoors in Germany
Available for ML engineering roles

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.

01M.Sc. Computational Engineering
02AWS ML Specialty + Associate
03LLM, RAG + Computer Vision

Technology stack

Tools I use to ship
production AI.

From model development to APIs, interfaces, databases, cloud infrastructure, and deployment.

01
LanguagePython
02
LanguageTypeScript
03
DataSQL
04
Machine learningPyTorch
05
Machine learningTensorFlow
06
Machine learningKeras
07
Machine learningscikit-learn
08
Generative AIHugging Face
09
Generative AILangGraph
10
Computer visionOpenCV
11
BackendFastAPI
12
BackendDjango
13
FrontendReact
14
FrontendNext.js
15
DatabasePostgreSQL
16
DatabaseRedis
17
CloudAWS
18
MLOpsDocker
19
MLOpsKubernetes
20
MLOpsMLflow