Michel Haussaire

Dayone is a mobile productivity application I developed with React Native and Expo, using TypeScript for type-safety. I implemented navigation using Expo Router with fluid gestures using react-native-gesture-handler and react-native-reanimated for 60fps animations. Designed the interface with NativeWind (Tailwind CSS for React Native), incorporating gradients, blur effects and tactile haptics. Integrated social authentication with Google Sign-In and data persistence through Supabase. The app includes multimedia capabilities with expo-audio and expo-video, local push notifications, and native functionalities like geolocation. Implemented custom UI components including circular progress, sliders and native datepickers.

Hibi Web is a corporate platform designed to showcase and manage a diversified portfolio of technological services. I developed interfaces with Next.js 16 (App Router) and React 19 using TypeScript and Tailwind CSS. Implemented forms with react-hook-form and validation with zod, managing UI state with modern React patterns. The platform includes complete internationalization (ES/EN) via next-intl, accessible components with Radix UI (Dropdown, Toast), and integrated email delivery with Resend. Applied a consistent design system using clsx, class-variance-authority, and tailwind-merge for dynamic CSS class management.

MeshEvolver is a high-performance procedural asset generation system implementing a multi-language architecture with Rust core computation, Python orchestration, and TypeScript frontend. The system leverages SIMD-optimized algorithms and WebGL-accelerated rendering for real-time mesh evolution. It features a genetic algorithm framework for evolutionary computation and a deterministic geometry pipeline using Perlin and Worley noise. Computational bottlenecks are solved via PyO3 bindings for zero-copy data transfer between the Python backend and Rust core.

PoolPilot is an intelligent generation platform for aquatic training protocols. It utilizes Google Gemini 2.5 Flash to transform high-level user parameters into structured, executable workout data based on modern sports science. The engine implements sophisticated prompt engineering using 4-dimensional parameter mapping (Focus, Level, Style, Zone) and enforces strict JSON schema compliance for AI outputs. Designed as a stateless serverless application, it handles complex athletic periodization for swimmers ranging from Beginner to Olympic levels.

Hicket is a production-grade financial ecosystem designed for entrepreneurs and organizations requiring sophisticated fiscal control. Built with Expo and React Native, it features a unique 'Transaction State Machine' for deterministic lifecycle management and a multi-tenant architecture powered by Supabase. The application empowers teams through a robust permission system (Owner, Admin, Editor, Viewer), allowing secure collaborative financial management. Real-time data visualization is achieved through a GPU-accelerated OpenGL rendering engine, providing high-performance insights into complex financial patterns.

Finance Python is a modular financial analysis toolkit built entirely in Python, designed for quantitative research and strategy validation. The system is composed of three independent Jupyter-based modules: a Streamlit-powered interactive portfolio analyzer with benchmark comparison against the S&P 500, an automated technical indicator engine leveraging the TradingView API for multi-timeframe signal generation, and a vectorized backtesting framework implementing SMA crossover strategies with automated parameter optimization. Each module is designed for isolated execution while sharing a common data acquisition layer through yfinance.