Hi, I'm Ygor Marsi

01/2025 - Present | Remote

• Architect and develop a scalable AI SaaS ecosystem using Django and React (Vite), implementing real-time bidirectional communication via WebSockets (Django Channels) and Redis.
• Lead the transition of the AI architecture: utilized external APIs (OpenAI/Groq) exclusively for rapid prototyping and concept validation, migrating to a Self-hosted Proprietary LLM in production to ensure data sovereignty and cost reduction.
• Build high-performance asynchronous pipelines using Celery to orchestrate model fine-tuning, PDF/Docx generation, and speech-to-text processing without blocking the main thread.
• Designed a robust billing infrastructure integrating Stripe to manage complex subscriptions, automated invoicing, and plan upgrade/downgrade flows.
• Developed advanced multi-tenancy features, including Organization management, custom Rate Limiting middleware, and analytics dashboards.
• Orchestrate the production environment using Docker Compose and Nginx as a reverse proxy, focusing on security and performance.

06/2024 - 01/2025 | Remote

• Led backend development for a SaaS platform, ensuring high availability and secure API integrations using Python/Django.
• Architected microservices to connect users with Generative AI models, optimizing for high concurrency.
• Improved API response times by 30% through efficient caching strategies with Redis and query optimization.
• Developed secure authentication flows (JWT/OAuth) and institutional web portals.

Project-based | São Paulo, Brazil

• Engineered a full-featured Inventory Management System using Django, ensuring data integrity and complex business logic.
• Designed an RBAC system for granular user permission management.
• Implemented automated financial calculations, reducing client manual errors by 90%.
• Deployed and managed static and media assets on AWS S3.

11/2022 - 04/2023 | São Paulo, Brazil

• Managed hardware/software infrastructure and implemented data security policies.
• Automated internal database routines to optimize legal operations.