Hosni Ben Hassen

Development of complete web applications (React.js, Vue.js, Next.js) for +20 clients - responsive interfaces and optimal user experience Design of RESTful APIs and scalable backend architectures (Node.js, Python/Django, PHP/Laravel) with relational databases (PostgreSQL, MySQL) and NoSQL (MongoDB) Complete project lifecycle management: needs analysis, technical architecture, development, testing, deployment, and evolutionary maintenance Notable projects: clickprotect.io (Google Ads/Meta Ads protection), droit-immigration.fr (legal platform), HypnoHarmony, ÉtanchPro33

AI & Automation Agency - Agenticflow.fr

Design and deployment of a conversational AI agent with RAG (Retrieval-Augmented Generation) integrating Claude API (Anthropic), OpenAI Embeddings, and Supabase pgvector for precise contextual responses Development of an AI voice agent (Sophie) with ElevenLabs API - voice recognition, natural speech synthesis, and automatic lead extraction via N8N webhook + Claude Haiku Architecture of end-to-end N8N automation workflows: automatic generation of personalized quotes, sending SMTP emails, inserting leads into Supabase database - 80% reduction in processing time Development of the portfolio website agenticflow.fr (React.js) with integrated AI chat, real-time admin dashboard, and multi-channel lead management system (chat + voice) Deployment of complete cloud infrastructure on VPS (Hostinger): self-hosted N8N, Supabase, SMTP, Docker orchestration - 99.9% uptime Stack: Claude API N8N RAG ElevenLabs Supabase React.js pgvector Webhooks

Extraction and aggregation of real-time financial data via APIs (Binance, Interactive Brokers, Alpha Vantage) with Python - automated data pipelines Development of ML predictive models (Regression, Random Forest, XGBoost, LSTM, Reinforcement Learning) for market trend prediction Implementation of rigorous backtesting pipelines with hyperparameter optimization - validation on historical data with performance metrics Advanced feature engineering on financial datasets: normalization, technical indicators, time series management, and anomaly detection Training and mentoring on algorithmic trading, Machine Learning applied to finance, and Python development best practices Stack: Python XGBoost LSTM Pandas NumPy Interactive Brokers Backtesting