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Laqrabti/README.md

AI Solutions Architect & DevSecOps Engineer

Zero-Trust Infrastructure · Agentic Systems · High-Fidelity Interfaces

I architect and deploy high-availability, multi-tenant SaaS ecosystems where enterprise-grade infrastructure meets precision-engineered user experiences. My engineering focus is the transition of traditional web applications into autonomous, agentic platforms — governed by strict Zero-Trust protocols and distributed across event-driven microservice meshes.

I bridge the gap between heavy backend logic and fluid, responsive interfaces — designing systems that are scalable, secure, and optimised for the modern era of Generative Engine Optimization (GEO).


Production Platforms

All platforms are architected using Clean Architecture and service mesh patterns — ensuring zero-downtime deployments, strict data sovereignty, and horizontal scalability at enterprise scale.

InspiringTrip.com — Enterprise Travel Intelligence

  • Polyglot microservices backend (Go / Python) aggregating complex workflows across Amadeus and Booking.com
  • Multi-cloud strategy — AWS EKS and Azure AKS — for strict B2B client isolation and regional failover
  • Next.js 14 frontend with a strictly decoupled domain layer and high-performance GSAP / Three.js rendering

GovernedAgentic.com & GoverningAgents.com — AI Governance & LLM Gateway

  • Enterprise AI governance framework engineered for autonomous operations and EU AI Act compliance
  • Strict JSON schema validation and sandboxed execution environments to neutralise semantic prompt injections and rogue agent actions
  • LLM Gateway with policy-based routing, rate limiting, and full audit logging across model providers

EduRift.com — Adaptive Learning Technology

  • Advanced data structures and Retrieval-Augmented Generation (RAG) architectures powering personalised educational pathways
  • Dynamic learner-state mapping with adaptive content sequencing and real-time knowledge-gap analysis

Core Engineering Pillars

Zero-Trust Security & DevSecOps

  • Defense-in-depth architecture using a "nesting doll" encryption model — malicious payloads dropped at the edge via Cloudflare API Shield before reaching application layers
  • Strict mTLS 1.3 enforced through Cloudflare Origin Pulls mapped to AWS ALB Trust Stores, with internal isolation via Istio Service Mesh
  • Infrastructure fully automated with Terraform and GitHub Actions — deterministic, version-controlled, and auditable across all environments

Polyglot Microservices & Event-Driven Design

  • Go for high-concurrency services (Booking, Payments, Sync) — Python for AI/ML and analytics — TypeScript for search and notification layers
  • Asynchronous event-driven backbone via Kafka / Redpanda decoupling all inter-service communication
  • Polyglot persistence strategy: Postgres, MongoDB, Elasticsearch, and Redis — each chosen for the access pattern it best serves

Clean Architecture & Scalable Frontend

  • Hybrid Next.js architecture with a structured core/ directory separating entities and use cases from the presentation layer — testable and framework-independent by design
  • Elite frontend stack: Tailwind CSS, GSAP, and Three.js delivering fluid, Apple-tier interactions without performance compromise
  • Service mesh patterns ensuring zero-downtime deployments and strict data sovereignty at every layer of the stack

Go Python TypeScript Next.js 14 AWS EKS Azure AKS Terraform Kafka Istio Cloudflare Postgres MongoDB Elasticsearch Redis GSAP Three.js RAG mTLS 1.3

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  1. Laqrabti Laqrabti Public

    Cloud Solution Architect | AWS & DevOps Engineer | Designing Scalable, Secure Cloud Systems

    7

  2. Clean-architecture-next.js Clean-architecture-next.js Public

    JavaScript 32 4