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 the studio's public site. The editorial redesign replaced the earlier corporate platform with one flow for studio, services, archive, notes, and contact. The catalog follows the commercial rate card: identity design, websites, online stores, management apps, marketing, and AI automation. Each service has concrete offerings in Spanish and English. Notes explain scope and product decisions, and contact combines WhatsApp with a validated form.
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 the training platform for swimmers and coaches. It centralizes sessions, event times, and meet results, and generates workouts with Google Gemini from level, available time, energy, zone, stroke, and race context. Sessions can also come in from FIT or TCX files and are saved as completed trainings; detailed wearable analysis depends on the plan. Individual results import from CSV. The Coach plan adds swimmers, programs, pool timing, and tournaments.
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.