AvailableRiyadh, Saudi Arabia · GMT+3
Rayane Younes AGABI

AI Systems Engineer& Frontend Architect.

I build scalable frontend architectures and production-grade AI systems for enterprise platforms. From Angular applications and geospatial dashboards to RAG assistants, LLM orchestration, guardrails, and safe streaming.

ROLEAI Systems Engineer
EXPERIENCE8+ years
Rayane Younes AGABI — AI Systems Engineer & Frontend Architect, RiyadhBased in Riyadh
01 Operating Principles

How I think, before I build.

  1. Architecture first

    Reusable systems outlast any single project. The centralized AI orchestration service I built at SAHAB was designed to be reused across multiple products from day one, not retrofitted later.

  2. Production over demos

    AI systems that only work in controlled environments are not finished. I build for load, for edge cases, for guardrails, prompt-injection detection, output validation, token limits, and cost-aware routing included.

  3. Frontend as the AI surface

    The model is invisible to the user. The interface is not. I treat the Angular components, data streams, and UX flows that deliver AI output as first-class engineering, not an afterthought.

  4. Honest about contribution

    Impact is always collaborative. I contributed to AI-EMS capabilities associated with reducing urgent-case ambulance response time from 23 to 12 minutes, alongside a team, inside a complex system.

02 Impact Metrics

Verified numbers. No estimates.

8+
Years of software engineering experience
4
Countries of professional experience
Saudi Arabia · France · Australia · Algeria
11
Enterprise projects delivered
23→12min
Contributed to AI-EMS capabilities associated with reducing urgent-case ambulance response time
03 What I Build

Frontend, platform and AI engineered as one.

A production architecture where every layer is deliberate, connected, and built to last.

System Architecture

One coherent system.

Not three isolated layers, one production architecture where frontend, platform, and AI work together by design.

Layer 01 — Frontend

Application surfaces that carry meaning.

Angular applications, geospatial dashboards, live tracking interfaces, compliance UIs, and operational decision-support tools. The frontend is not decoration — it is the system's interface to the world, connected to real product workflows.

  • Angular · TypeScript · RxJS
  • ECharts · Leaflet
  • Real-time data streams
  • Reusable NPM libraries
Layer 02 — Platform

The orchestration and service core.

A centralized Spring Boot microservice reused across AI-EMS, Tafaqd, and Wareed, single integration point for all AI requests. Business logic, API coordination, SSE streaming, and cost-aware model routing all live here.

  • Spring Boot · Microservices
  • AI Manager orchestration
  • REST APIs · Secure integration
  • SSE streaming
Layer 03 — AI Intelligence

Structured intelligence, not magic.

RAG pipelines, prompt-injection detection, output validation, token optimization, and safe streaming, each a deliberate engineering decision, not a shortcut. AI is integrated as a capability layer with guardrails.

  • RAG · Role-aware retrieval
  • Guardrails · Injection detection
  • Cost-aware model routing
  • Token optimization · Groq
End-to-End Flow

Modular. Production-grade. Connected.

Every layer is deliberate and connected. A user action in the frontend triggers a request through the platform orchestration layer, which routes it to the AI system with the right context, guardrails, and response handling — and delivers the result back.

01
Application Layer

Frontend Systems

Angular applications, geospatial dashboards, live tracking interfaces, compliance UIs, and operational decision-support tools. The frontend is not decoration — it is the system's interface to the world, connected to real product workflows.

  • Angular · TypeScript · RxJS
  • ECharts · Leaflet
  • Real-time data streams
  • Reusable NPM libraries
02
Backend Layer

Platform & Orchestration

A centralized Spring Boot microservice reused across AI-EMS, Tafaqd, and Wareed, single integration point for all AI requests. Business logic, API coordination, SSE streaming, and cost-aware model routing all live here.

  • Spring Boot · Microservices
  • AI Manager orchestration
  • REST APIs · Secure integration
  • SSE streaming
03
Structured Capabilities

AI Intelligence Layer

RAG pipelines, prompt-injection detection, output validation, token optimization, and safe streaming, each a deliberate engineering decision, not a shortcut. AI is integrated as a capability layer with guardrails.

  • RAG · Role-aware retrieval
  • Guardrails · Injection detection
  • Cost-aware model routing
  • Token optimization · Groq
End-to-end flow

User action → Frontend → Platform orchestration → AI system → Validated response → Interface

04 Featured Case Studies

Work that ships.

AI systems architecture2026

AI Manager Microservice

SAHAB — Saudi Arabia

Centralized Spring Boot AI orchestration service reused across AI-EMS, Tafaqd, and Wareed. Handles LLM routing, context management, prompt-injection detection, output validation, token limits, safe streaming, and cost-aware model routing. Also built @sahab/feature-ai-assistant — a reusable Angular library for chatbot UI, SSE streaming, and safe markdown rendering, deployed across SAHAB products. Reduced LLM token consumption by 65%.

  • Token reduction65%
  • Scope3 products
  • PatternCentralized orchestration
Spring BootLLM orchestrationRAGGroqPrompt engineeringAI guardrailsMicroservices
Frontend architecture · AI2023

AI-EMS Emergency Medical Services Platform

SAHAB — Saudi Arabia

Angular modules for EMS dispatch, live tracking, geospatial dashboards, and operational decision-support workflows. Contributed to capabilities associated with reducing urgent-case ambulance response time from 23 to 12 minutes.

  • Response time23 → 12 min
  • ScopeNational EMS platform
  • ModulesDispatch · Tracking · Maps
AngularTypeScriptRxJSEChartsLeafletGoogle Maps APIMicroservices
Frontend · AI integration2025

Tafaqd Inspection & Compliance Platform

SAHAB — Saudi Arabia

Angular modules for inspection workflows, compliance tracking, and AI-assisted features powered by the shared AI Manager Microservice. Scope includes summarization and classification capabilities.

  • DomainInspection & compliance
  • AIVia shared orchestration
  • PatternModular Angular
AngularTypeScriptSCSSAI Manager MicroserviceSummarizationClassification
Frontend · AI assistant2026

Wareed AI-powered Training Platform

SAHAB — Saudi Arabia

Angular modules for the Wareed training platform integrating @sahab/feature-ai-assistant — the reusable Angular AI Assistant library for chatbot UI, SSE streaming, and safe markdown rendering. AI capabilities powered by the shared AI Manager orchestration layer.

  • DomainTraining platform
  • AIAI assistant (chatbot)
  • PatternReusable Angular library
AngularTypeScriptAngular NPM libraryAI Manager MicroserviceChatbotContext management
05 Stack & Capabilities

What I can design, build, and integrate.

Enterprise AI Systems

Production-grade AI orchestration, multi-product integration, and role-aware intelligent features across enterprise platforms.

  • LLM orchestration
  • RAG pipelines
  • AI microservices
  • Cost-aware model routing
  • Token optimization
  • AI guardrails
  • Prompt engineering
  • Prompt-injection detection
  • Output validation
  • Safe streaming
  • Groq integration
  • AI assistants
  • Classification workflows

ML / NLP Foundations

Machine learning and natural language processing fundamentals powering the AI systems I design and build.

  • Python
  • PyTorch
  • Hugging Face Transformers
  • NLP pipelines
  • Information retrieval

Frontend Architecture

Scalable UI systems, reusable component libraries, and enterprise-grade Angular applications shipped to production.

  • Angular
  • React
  • Vue.js
  • TypeScript
  • RxJS
  • Component architecture
  • Design systems
  • SCSS

Data & Operational Visualization

Operational dashboards, KPI interfaces, and real-time chart systems for decision-support platforms.

  • ECharts
  • Chart.js
  • Dashboard interfaces
  • KPI visualization
  • Real-time data streams

Geospatial & Map-Based Systems

Live tracking, geofencing, and spatial data systems for operational command and emergency dispatch.

  • Google Maps API
  • Leaflet
  • Geofencing
  • Live tracking
  • Operational maps
06 Career Path

From frontend foundations to enterprise AI systems.

  1. 2023 — Present🇸🇦 Saudi Arabia
    Senior Software Engineer – AI Systems & Frontend Architecture
    SAHAB
    Frontend architecture and AI systems across AI-EMS, Tafaqd, and Wareed. Built centralized AI orchestration service. Built @sahab/feature-ai-assistant — a reusable Angular AI Assistant library standardizing chatbot UI, SSE streaming, and safe markdown rendering across SAHAB products. Angular, TypeScript, RxJS, ECharts, Leaflet, Spring Boot, Groq.
  2. 2022 — 2023🇫🇷 France
    Full-Stack Engineer
    Naxxum
    Web solutions for clients across France, Saudi Arabia, and Algeria. Angular, Vue.js, .NET Core, microservices.
  3. 2021 — 2022🇩🇿 Algeria
    Frontend Engineer
    ADEX Technology
    Frontend across the ADEX product family: Eboutik marketplace, ADEX Events, Training Center, Cloud, and more.
  4. 2020 — 2021🇩🇿 Algeria
    Techno-functional ERP Consultant
    Atom
    Needs audit, functional and technical specifications, end-user training.
  5. Education & Research
    2019 — 2020🇦🇺 Australia
    AI / ML & NLP Research Internship
    Deakin University
    Research collaboration on the M.Sc. thesis Q&A system.
  6. Education & Research
    2018 — 2020🇩🇿 Algeria
    Master's Degree — Intelligent Computer Systems Engineering (AI)
    Algiers University
    Specialization in Artificial Intelligence. Thesis: Information-retrieval based question-answer system. F1 = 0.92.
  7. 2017🇩🇿 Algeria
    Web Developer
    Digitalex
    Hawesse platform — web components and database management.
  8. Education & Research
    2015 — 2018🇩🇿 Algeria
    Bachelor's Degree — Computer Systems
    Algiers University
07 Testimonials

Trusted by people I've built with.

A few words from people who worked with me across product, engineering, quality, and design.

  • Rayane delivers clean, efficient, and innovative code while keeping a strong eye on user experience. He solves complex challenges and collaborates effectively with teams.

    Mohamed SayahSoftware Solution Manager

  • Rayane produces high-quality work, pays great attention to detail, builds user-friendly interfaces, communicates well, and consistently gets the job done on time.

    Ahmed AlqahtaniQA & Data/AI Leader

  • Rayane shows leadership potential, product ownership, and a strong ability to innovate and collaborate across frontend and user experience design.

    Salaheddine OgontayoProduct Designer

  • Rayane demonstrates strong technical skill, professionalism, and a growth mindset, consistently delivering high-quality solutions that exceed expectations.

    Mondher CHERIF.NET / Angular / VueJS Developer

Condensed from LinkedIn Testimonials.

08 Contact

Building something serious?
Let's talk.

I'm open to senior engineering roles, AI systems work, and technical leadership opportunities.

younes.agabi03@gmail.com →LinkedIn ↗
+966 55 169 2126WhatsAppGitHubFacebook
Rayane Younes AGABIRiyadh, Saudi ArabiaGMT+3