Leo Sollvelles

OsteoPets is a SaaS platform dedicated to animal osteopaths, designed and developed from start to finish.

I was responsible for the complete technical architecture design, as well as the development and production deployment.

Main responsibilities:

• Design of a multi-service Docker architecture

• Integration and management of payments via Stripe (subscriptions, webhooks, status management)

• Backend development (API, business logic, user management)

• Secure database management

• Automated invoicing system

• Clinical report generation

• Appointment management and client sharing

• Deployment on a secure Linux VPS

• Setup of automated backups

• Maintenance, upgrades, and zero-downtime deployments

The project is currently in production with active users.

RestoBrain is a SaaS platform dedicated to the collection and real-time analysis of customer reviews for restaurants.

The project's objective was to centralize online reviews, analyze them using AI models, and present them in the form of decision-making dashboards.

Main responsibilities:

• Multi-service Docker architecture design

• Automated ingestion system development

• Data collection and normalization

• Semantic analysis of reviews

• Real-time indicator generation

• Deployment on a secure Linux server

• Database and storage management

• Integration and management of payments via Stripe (subscriptions, webhooks, status management)

The project resulted in the design of a robust architecture focused on real-time data.

It is currently on strategic pause for technical evolution and product repositioning.

BoursoBrain is an experimental platform dedicated to real-time financial flow analysis and the orchestration of decision-making AI agents.

The project aims to demonstrate the impact of information flows on financial markets through a complete and modular data architecture.

Technical Architecture:

• RSS & Financial API Feed Ingestion (Finnhub)

• Normalization and storage via MinIO (S3 compatible)

• Real-time data pipeline

• AI processing for structured “news cards” generation

• Decision-making multi-agent network

• MongoDB for state and decision management

• Deployment on Linux server via multi-service Docker

• Network security and isolation

Project Objective:

Design a robust architecture for automated financial information analysis and intelligent agent decision-making simulation.

R&D Project demonstrating skills in:

• Data Engineering

• Multi-service Orchestration

• SQL & NoSQL Databases

• Distributed Architecture

• Secure Production Deployment