Freelancer profile translated to English.
Back to original languageAbout Ayoub
Product Engineer | SaaS Architect & AI Expert | n8n & Claude 3.5
The observation: Development is too slow or an unstable stack hinders your growth.
My focus: Immediate ROI through automation and scalable product development. I don't just code, I build tools that generate value.
💡 Business Impact & Acceleration (ROI)
SaaS Launch (MVP): I transform your vision into a functional product in weeks (Focus 0 ➔ 1).
AI Productivity & Agents: Deployment of Claude 3.5 / GPT-4o agents and n8n workflows. Proven result: reducing manual processing from 3 days to 3 hours.
Data Intelligence: Massive data extraction (+1M records/day) with anti-bot bypass to feed your AI models.
Cloud Scalability: Architectures designed to handle load increases (100 to 100k users) without technical debt.
🏗️ Showcase: Market Intelligence SaaS Platform
Concrete example of my ability to deliver a complex product from A to Z:
AI Insight Generation: Automated predictive and narrative analysis via AI Agents (RAG).
Core Logic: High-precision matching algorithms between Open Data feeds and proprietary databases.
SaaS Ecosystem: Analytics dashboards, subscription management (Stripe), and automated reporting.
n8n Automation: Orchestration of critical processes and intelligent notifications (WhatsApp/Slack).
🛠️ "High-Performance" Tech Stack
Frontend (SaaS): Next.js 15, React, Tailwind CSS (Fluid UX & Native SEO).
Artificial Intelligence: AI Agents, LangChain, RAG, n8n, Python, LLM Integration.
Backend & Data: NestJS, Spring Boot 3, PostgreSQL, High-volume Scraping.
Infrastructure: AWS Cloud, Kubernetes (K3s), Docker, Industrialized CI/CD.
🏆 Why Hire Me as Your Technical Partner?
With over 30 successful projects (Orange, GE Vernova) and Top Rated status, I deliver a profitable asset. I secure your technology so you can focus exclusively on your growth.
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km), Lyon (up to 50km), Rennes (up to 50km), Toulouse (up to 50km), Montpellier (up to 50km)
Experience
- RealtiiWeb Developer | ReactJs | NestJs | Postgres | Aws | AI AgentREAL ESTATEJanuary 2026 - Today (5 months)Rennes, FrancePropTech SaaS Platform: Real Estate Intelligence & AI InsightsI designed and deployed a PropTech SaaS platform, transforming raw real estate data into automated strategic decisions. This project showcases my ability to build complex products combining Data Engineering, Generative AI, and high-performance UX.🎯 Business Value & ROIThe goal: eliminate tedious manual analysis. The platform allows professionals (Agents, Real Estate Companies, Investors) to go from raw data to an expert report in just a few clicks.Market Power Score: Proprietary scoring algorithm (0-100) based on 4 pillars (Momentum, Structural, Pricing, Macro).AI Insights: Automatic generation of narrative recommendations and market summaries via LLM (OpenAI/Claude).CMA & Report Generator: Instant production of Comparative Market Analysis (CMA) reports exportable in PDF.🛠️ Advanced Modules & FeaturesMarket Intelligence: 24-month snapshot, real-time Price Drop tracking, and neighborhood analysis (Zip Code Analytics).Construction & Permits: Intelligent matching between building permits (Open Data) and MLS sales feeds.Off-Market & Portfolio: Management of private comparables and portfolio performance tracking (ROI/Cap Rate).Smart Offers: Offer simulator (Conservative/Smart/Bold) based on market seasonality and tension.💻 Tech Stack & IndustrializationProject developed with a "Product Engineer" approach: robust, scalable, and secure.Frontend: Next.js 15, TypeScript, Tailwind CSS, TanStack Query (Fluid data-heavy interfaces).Backend & Data: Modular API architecture, NestJS, PostgreSQL, Python Scrapers (Playwright) for mass data extraction.Automation & AI: n8n workflows for data synchronization and AI integration for predictive analysis.Admin & Security: Full back-office, RBAC (role management), secure Auth, and activity logs
- IntellisoftSaaS Data Intelligence - Web Developer | React (Next.js 15) • NestJS • LangChain • n8n AutomationE-COMMERCEDecember 2025 - March 2026 (3 months)Rennes, FranceSaaS Data Intelligence | React (Next.js 15) • NestJS • LangChain • n8n AutomationProject Description:Design of a Competitive Intelligence SaaS platform enabling brands to monitor their market in real-time. The system automates product data collection and uses AI to generate strategic analyses of pricing trends and customer reviews.💡 Challenges & Solutions Provided:AI Orchestration (LangChain): Use of decision graphs to analyze customer review sentiment and synthesize competitors' product strengths/weaknesses narratively.High-Performance Scraping (Data-Driven): Daily ingestion of +1M product references (Amazon, Shopify, marketplaces) via Python/Playwright with advanced proxy management and anti-bot bypass.Analytics Dashboard (React/NestJS): Dynamic visualization of price trends, predictive stockouts, and competitive positioning (Market Share Index).n8n Workflows: Automation of price alerts and weekly intelligence reports sent directly to Slack or email to Marketing teams.🛠️ Industrialized Tech Stack:Front-end: React (Next.js 15), Tailwind CSS, TanStack Query (Focus on performance & UX).Back-end: NestJS (Microservices architecture), PostgreSQL / Redis.AI Stack: LangChain (Agent orchestration), OpenAI GPT-4o API, n8n.Infrastructure: Docker, CI/CD (GitHub Actions), AWS (Lambda & EC2).📈 Business Impact (ROI):Productivity Gain: Automated competitive analysis shifted from 3 days of manual research to 3 hours of automated synthesis.Responsiveness: Detection of competitor price changes in under 15 minutes.Decision Support: Generation of "Ready-to-present" strategic reports thanks to generative AI.
- upworkAI Automation | n8n • Claude (Anthropic) • RAG • Agent OrchestrationE-COMMERCENovember 2025 - January 2026 (2 months)Paris, FranceAutonomous AI Agent System: Prospecting & Support (n8n + Claude 3.5)Deployment of an AI agent ecosystem to automate complex business processes. The goal was to replace linear workflows with an "Agentic" architecture capable of making contextual decisions based on customer data.💡 Challenges & AI Architecture:Cognitive Intelligence (Claude 3.5 Sonnet): Use of the Anthropic API for its superiority in logical reasoning and "human-like" writing. Creation of systemic prompts for ultra-targeted personalization.n8n Orchestration (Advanced): Design of multi-branching workflows (Error handling, loops, advanced conditions) to manage LinkedIn prospecting and 24/7 customer support.RAG System (Knowledge Base): Connection of the n8n workflow to a vector database (Pinecone) so the AI responds using only the client's specific data (zero hallucination).API Connectors: Bidirectional interconnection with Hubspot (CRM), Slack, LinkedIn (via Gojiberry/Apify), and Calendly.🛠️ "Expert n8n" Tech Stack:Automation: n8n (Self-hosted for maximum security).Artificial Intelligence: Claude 3.5 (Anthropic), OpenAI (Whisper for voice).Data: PostgreSQL, Pinecone (Vector Database), Python (Custom scripts for data processing).Communication: REST APIs, Webhooks, WhatsApp Business API.📈 Business Impact & ROI:Productivity: Elimination of 15 hours of manual work/week per employee.Responsiveness: Prospect response time reduced from 4 hours to less than 2 minutes.Performance: 40% increase in conversion rate through personalization of messages based on real-time prospect activity.
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Education
- Software Engineer (Dual Degree)Institut supérieur d'informatique, de modélisation et de leurs applications2024Langages : C++ (GNU), C# (.NET), Java (Java EE / Jakarta EE / Spring) Bases de données : Oracle (avec JDBC/ODBC), PostgreSQL Modèles de développement : Extreme Programming, Agile, DevOps Architectures : Architectures n-tiers, interfaces graphiques, couches métier Web et sécurité : Web services, applications web sécurisées Systèmes distribués : Parallélisme, systèmes répartis, grille de calcul, cloud, virtualisation Applications mobiles : Développement d’applications pour plateformes mobiles ISIMA Machine learning & deep learning
- Engineer in Data Science and IoTÉcole Nationale Supérieure d’Informatique et d’Analyse des Systèmes2024Développement logiciel & systèmes : administration systèmes & réseaux, développement orienté objet, génie logiciel, bases de données (Oracle, SQL Server), Python, CMS. Intelligence artificielle & Data Science : Machine Learning, Deep Learning, Big Data, Vision par ordinateur, IA générative (LLM). IoT & systèmes embarqués : Internet des objets, systèmes embarqués temps réel, cryptographie, interconnexion réseaux (CCNA). Projets & professionnalisation : projets interdisciplinaires et industriels, CI/CD, compétences managériales, projet Data Science & IoT, stage et PFE. Soft skills & langues : anglais/français, culture, communication professionnelle.