YAYacine AmoucheAI & BACKEND ENGINEER
CV
Contact me
ENGINEERING INSIGHTS

Architecture, AI and
automation in practice.

Engineering notes, architectures and technical decisions around AI systems, backend engineering, integration and automation.

7published articles
IARAG & LLM
BACKENDJava & Python
AUTOMATIONn8n & workflows
AI & ArchitectureFEATURED

FieldFlow AI: AI qualification, explainable scoring and intelligent dispatch

An architecture deep dive into a dispatch engine combining AI qualification, business constraints, readable scoring and human validation.

Sep 9, 20262 min read
FieldFlow AIOpenAISpring BootPostgreSQLDispatch
Read article
AI and automation architecture for FieldFlow AI

All articles

6 articles
Data architecture for an AI application01
Data & Architecture

Structuring the database of an AI application: business data, embeddings, traces and security

An AI-ready data architecture should separate business data, vector knowledge, execution traces and sensitive information.

Sep 8, 20263 min read
PostgreSQLpgvectorRAGArchitecture
Read article
Document interface and architecture for a RAG system02
RAG & LLM

Building reliable RAG: from document retrieval to contextual answers

The architecture choices that separate a convincing RAG prototype from a genuinely usable assistant.

Sep 5, 20262 min read
RAGLLMpgvectorLangChain
Read article
Angular frontend for an AI application03
Frontend & Angular

Angular for AI applications: building a reactive, observable and secure frontend

Streaming, intermediate states, human validation, errors and observability: AI application frontends need a specific architecture.

Sep 3, 20262 min read
AngularRxJSSignalsSSE
Read article
Application interface illustrating backend and AI integration04
Backend & AI

Spring Boot + OpenAI: integrating an LLM without weakening your backend

Timeouts, validation, structured outputs, security and fallback: essential guardrails for backend LLM integration.

Aug 30, 20262 min read
JavaSpring BootOpenAIAPI
Read article
Data security and AI agents05
Security & AI

AI agents and data leakage: securing prompts, tools, RAG and automated actions

An AI agent can read, combine and transmit data from multiple systems. Without guardrails, data leakage becomes an architectural risk.

Aug 28, 20263 min read
AI AgentsSecurityData LeakageRAG
Read article
Automation and technical integration ecosystem06
Automation

n8n or dedicated backend: how to choose your automation engine

When to favor visual workflows, when to move to code, and how both can coexist in enterprise architecture.

Aug 24, 20262 min read
n8nAutomationArchitectureAPIs
Read article
An article idea or a question?I mainly write about practical topics drawn from my experience.
Contact me