Freelancer profile translated to English.

Description

AI Architect & Backend Engineer specializing in the industrialization of LLM solutions and the automation of complex workflows.

I help companies, scale-ups, and agencies transform their business processes into automated, scalable, and resilient systems. With a dual expertise in high-performance backend architecture (Go, Node.js) and AI engineering (RAG, native agents, n8n), I design production-ready infrastructures.

My areas of expertise:

⚙️ Agentic AI & Automation (n8n, LangChain, OpenAI/Gemini):

Design of native conversational AI agents (WhatsApp Cloud API integration).

Orchestration of complex business workflows via n8n (client onboarding, automated appointment scheduling, lead qualification).

Implementation of RAG (Retrieval-Augmented Generation) architectures for dynamic context management.

🚀 Backend & Data Scale Architecture (Go, Node.js/TypeScript, Python):

Development of high-availability RESTful APIs and microservices.

Architecture of complex multi-tenant databases (PostgreSQL, Supabase, MongoDB).

Optimization of high-volume data pipelines (processing and reconciliation of +150k transactions/day in the banking sector).

☁️ Deployment & CloudOps (AWS, Docker):

Deployment of robust infrastructures on AWS (EC2, S3).

Containerization and environment management to ensure production stability.

Focused on ROI and complex problem-solving, I am available for architecture, technical consulting, or from-scratch development missions.

Industry field of expertise

Languages

English
Native or bilingual
French
Native or bilingual
Arabic
Native or bilingual

Workplace preferences

Remote only

Primarily works remotely

Killy AI
AI Solutions Architect (Lead)
MEDICAL
January 2026 - Today (7 months)
End-to-end design and deployment of a multi-tenant AI SaaS platform, enabling the transition of custom agency projects to an automated and scalable offering.
SaaS Architecture : Engineering a robust infrastructure integrating dynamically provisionedPostgreSQLdatabases via Supabase for automated client onboarding.
Agentic AI : Development of native conversational AI agents ("stateful") onWhatsApp**. Design of context routing logic to autonomously classify user intents **(reservations, reschedulings, FAQs).
Complex Automation : Creation of a resilient ecosystem combining advancedn8nworkflows, customLLMreasoning models, and seamless integration of third-party APIs(WhatsApp Cloud API, Google Calendar).
Business Impact : Full responsibility for the technical lifecycle, translating manual planning operations into automated systems generating immediate ROI for clients.
Stack: TypeScript, n8n, Supabase, PostgreSQL, LLM (OpenAI/Gemini), WhatsApp API.
Typescript AI Chatbot PostgreSQL n8n LLM
SCOR SE
Backend & Performance Optimization Engineer
BANKING AND INSURANCE
July 2025 - October 2025 (3 months)
Paris, France
Audit and architectural redesign of critical applications to maximize data processing performance and streamline existing business processes.

ETL Flow Optimization:98%increase in data extraction and processing efficiency through advanced query optimization and strategic caching mechanism implementation.
Backend Redesign:95%improvement in file upload performance by restructuring asynchronous processes and upgrading the backend framework.
Hybrid Data Architecture: Integration ofNoSQLdatabases (MongoDB) for flexible document data management, coupled with the use of relational databases (SQL Server) for transactional reliability.

Stack: Python, Flask, MongoDB, SQL Server, ETL Processes, Microservices, Caching.
Python flask ETL Processes Microservices Caching
Travely AI
Full-Stack AI Engineer & Mobile Developer
TRAVEL AND TOURISM
February 2026 - March 2026 (1 month)
Design and "from scratch" development of an AI-powerediOS SaaSapplication, enabling automated and dynamic estimation of complex travel costs.

Real-time LLM Integration: Implementation of theGoogle Gemini APIto analyze multiple variables(flights, accommodation, activities)and generate accurate budget estimates.
Cloud Backend Architecture: Creation and deployment of a production-levelRESTful APIonAWS (EC2), asynchronously handling user requests and communication with AI models.
Native Frontend Development: Design of a fluid, modern, and responsive user interface in **SwiftUI**, with a focus on user experience (UX) to simplify complex financial calculations.

Stack: TypeScript, Node.js, Express.js, AWS (EC2), Gemini API (LLM), SwiftUI, OpenAI.
Node.js Express Gemini OpenAI Typescript