Senior Full-Stack Developer | Mobile & AI Specialist | Founder @ hibi.dev
I architect and ship high-performance applications using React, Next.js, React Native (Expo), and AI automation tools. Expert in TypeScript, serverless backends (Supabase), and modern DevOps practices. Led cross-platform projects from conception to App Store deployment.
Looking for technical expertise in mobile development, AI integrations, or full-stack solutions? Let's talk.
github: @michelhaussaire
OneDay App combines task and goal management with a visual experience based on an interactive room. The app is built with Expo, React Native, and TypeScript, integrates Supabase for persistence, and uses multimedia and 3D capabilities to move beyond a traditional task list. The product includes routines, library flows, multimedia content, dynamic backgrounds, alarms, and premium features documented in the repository.
Hibi Web is a corporate platform for presenting web, mobile, AI, design, and marketing services. The project uses Next.js App Router, React 19, and TypeScript with a modular architecture by service area. It implements localized content in Spanish and English, validated forms, accessible components, and an experience focused on performance, SEO, and commercial conversion.
MeshEvolver is an experimental system for procedural generation and 3D visualization. It combines a Python backend with FastAPI, Redis, and Pydantic, a Rust core exposed through PyO3 for geometry computation, and a React 19 frontend with Three.js and React Three Fiber. The project demonstrates how to separate heavy computational logic, web orchestration, and visual exploration in a multi-language architecture.
Swimmy is a browser-based platform for swimmers and coaches to keep workout history, race times, and meet results in one place. The product focuses on progress tracking, structured training records, and AI-assisted support so athletes can understand their performance over time and train with clearer context.
Hicket is a mobile finance application developed with Expo, React Native, and TypeScript. The project uses Supabase as its database and authentication layer, Expo Router for navigation, and native Expo modules for a polished mobile experience. Its goal is to centralize financial information, make transaction tracking easier, and provide a scalable foundation for analytics, control, and collaboration.
Finance Python is a financial analysis application that integrates market data, technical indicators, fundamental analysis, sentiment, pattern recognition, and portfolio management. It uses Streamlit as the interface, pandas and NumPy for processing, yfinance for market data, Plotly and Matplotlib for visualizations, and specialized modules for strategies, patterns, portfolio, and NLP.