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Complete products, from concept to production.

Five full-stack projects spanning web, mobile, desktop and R&D, designed, architected and built end to end. Three are shown in detail, two remain private.

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Mequi

In production

Business SaaS connecting riders and equestrian coaches.

8 features · 43 technologies

  • Web SaaS
  • Marketplace
  • Payments

Key features

  • Shared coach/rider scheduling with booking, availability and careful time-zone handling.
  • Geolocated coach search on an interactive map, with PostGIS clustering.
  • Progress tracking: goals, work plans, session reports and a training journal.
  • Horse management: profiles, photo galleries, shared access and a dedicated dashboard.
  • Subscriptions and payments via Stripe Connect, with billing and generated PDF documents.

Results

  • A complete SaaS in production, from first contact with a coach through to payment.
  • End-to-end business coverage: over 35 backend modules running in production.
  • Turborepo
  • npm workspaces
  • Zod partagé
  • React 18
  • TypeScript
  • Vite
  • Tailwind
  • shadcn/ui
View the case study

Ceryo

TestFlight

All-in-one mobile app, smooth and offline-first.

8 features · 45 technologies

  • Mobile
  • iOS
  • Android

Key features

  • Augmented search engine: real-time web search, multi-source synthesis and a personal encyclopedia with semantic search and an automated editorial pipeline.
  • Ceryo Assistant: an AI copilot with five LLMs to choose from, in orchestrator mode (acting across every module) and architect mode (project planning).
  • Arena, gamified learning: quizzes, real-time duels, scheduled battle royales, teams, ELO, leagues, XP, streaks, badges and an evolving mascot.
  • Spaces, themed communities: posting, feed, reactions, polls, roles and moderation, monetization and live events.
  • Budget: expense tracking with AI categorization, recurring subscriptions, wallets and savings goals.

Results

  • Apple-grade mobile experience: smooth animations, haptic feedback and a canonical art direction carried across every screen.
  • End-to-end full-stack command: React Native, real-time Rails and a sophisticated AI layer, all built solo.
  • Monorepo hybride (Rails + React Native)
  • API REST versionnée /api/v1
  • ~25 modules métier par domaine
  • Pattern Batch Snapshot
  • Gateway LLM multi-provider
  • Ruby on Rails 7.1
  • PostgreSQL
  • pgvector
View the case study

GodMode

Active

Native desktop cockpit for local projects and AI models.

8 features · 30 technologies

  • Desktop
  • Rust
  • Tauri

Key features

  • Project dashboard: per-project cards, start/stop/restart per service, a health dot and favorites-then-alphabetical sorting.
  • Process lifecycle: graceful SIGTERM shutdown with a grace window then SIGKILL, cleanup of orphaned children.
  • LLM control: detection of the main local inference runtimes, with real RAM footprint, model, size, quantization and owning-process attribution.
  • Kill all LLMs: a large long-press button, a system-bar item and a global shortcut, with a macOS notification of the number of processes stopped and the RAM freed.
  • Memory-pressure panel: detailed system memory (used, wired, compression, swap), a deterministic pressure level, hiding of non-killable daemons.

Results

  • A tool in daily use: starting, stopping and supervising every local project in a single gesture.
  • A modular Rust architecture (registry, process manager, scanners) that drives any repository without hardcoding.
  • IPC natif
  • État server-authoritative (source de vérité backend Rust)
  • Event bus Rust → frontend
  • Isolation sous ~/.godmode/
  • Rust
  • Tokio (multi-thread, process, signal)
  • rusqlite
  • nix (signaux POSIX)
View the case study

Alpha

Active

Real-time autonomous system: SSOT, runtime invariants, extreme robustness.

6 challenges · 39 technologies

  • Backend
  • Real-time
  • R&D

Private project: I share the stack and the engineering challenges, never the business logic.

Engineering challenges

  • Multi-mode consistency without divergence
  • Cold-boot state rehydration
  • Execution-context dependence
  • Monorepo backend / frontend / desktop
  • Pipeline temps réel événementiel
  • Single Source of Truth de configuration (multi-mode)
  • Base à double pool (contrôle + session)
  • Python 3.12
  • FastAPI
  • Uvicorn
  • asyncpg
View the project

Morpheus

Private

The multi-agent testbed that shaped my real-time architecture.

6 challenges · 5 technologies

  • AI
  • Multi-agent
  • R&D

Private project: I share the stack and the engineering challenges, never the business logic.

Engineering challenges

  • Making heavy ML libraries coexist in a single macOS process
  • A genuinely provider-agnostic LLM layer
  • Driving models with a limited context window
  • Python
  • orchestration multi-agents
  • LLM provider-agnostic
  • MLX local + cloud
  • isolation stricte
View the project

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