Full Stack Engineering
End-to-end development with Python, FastAPI, Flask, React, Next.js and TypeScript. From database design to responsive UIs.
Artur Guerra
From architecture to deployment — multi-tenant SaaS, healthtech and automation platforms with AI woven into every layer. Not demos. Production.
I don't just write code — I ship products.
I'm a Full Stack Developer and Information Systems student at CEFET/RJ, focused on building complete systems that solve real business problems. Currently a Full Stack Development Intern at Visol, working with PHP and Angular, where I integrated the franchise hub with the company's core platform.
Every project I take on is approached with a product mindset: understanding the domain, designing for scale, and shipping features that create real impact. I've built multi-tenant SaaS platforms, healthcare systems, sports management tools, and gaming platforms — all from scratch.
What sets me apart is the practical integration of AI into real systems: OCR pipelines, multi-provider LLM chains with fallback, intelligent agents, and automated workflows that run in production.
1class Engineer(Builder):2 stack = ['python', 'ts', 'php']3 ai = MultiProvider(fallback=True)4 5 async def ship(self, idea):6 # architecture → deploy7 return await self.build(idea)Products shipped
Lines in one platform
Industries served
LLM providers in prod
Visol
Building with PHP and Angular on the company's core platform, where I integrated the franchise hub with the main system.
EvoSolar Franquias · Zelo App · Fantasy Picks
Designing, building and operating full SaaS products end to end — architecture, backend, mobile, AI integration and infrastructure.
CEFET/RJ
Systems architecture, databases, distributed computing and software engineering fundamentals.
Pecci Cuidado Integrado
Clinical management platform for an integrated care clinic — deployed and running in production.
Six disciplines that compound into complete, production-grade products.
End-to-end development with Python, FastAPI, Flask, React, Next.js and TypeScript. From database design to responsive UIs.
Multi-tenant SaaS, Clean Architecture, async-first backends, role-based access control and production infrastructure with Docker.
Multi-provider LLM integration (OpenAI, Claude, Gemini) with fallback chains, OCR pipelines and AI-powered data extraction in production systems.
Celery-driven background jobs, scheduled tasks, real-time sync pipelines, push notification systems and workflow orchestration.
Google Ads, Meta Graph API, Firebase, OneSignal, football-data.org, SharePoint, ANVISA — deep third-party integration experience.
From MVP to production: multi-tenant architectures, payment flows, analytics dashboards, onboarding systems and retention mechanics.
Real systems running in production — built solo, from the first migration to the last deploy.
Multi-tenant franchise management platform for solar energy companies. Handles onboarding, KPI tracking, royalty calculations, ad campaigns and internal communication across franchise units.
Medication management platform for families with elderly and chronic patients. Centralizes drug scheduling, caregiver coordination, dose tracking, stock management and adherence analytics.
Fantasy sports platform with survivor-style pick mechanics. Users buy picks to enter real football championships, select teams weekly and compete for prizes based on match results.
Sports academy management system handling the complete lifecycle of young athletes — from initial interest through advanced training with multi-role staff coordination.
Academic social network for CEFET students. Centralizes institutional data (schedules, grades, directory) into a modern platform with social features and intelligent portal synchronization.
Clinical management platform for healthcare professionals. Enables data storage, appointment management and patient evolution tracking for an integrated care clinic.
I integrate AI where it creates real value — not as a buzzword, but as a core system capability.
How it runs
OCR, third-party APIs and portal scraping normalized into typed domain models.
Multi-provider LLM chain with automatic fallback, token accounting and prompt caching.
Celery workers, schedules and circuit breakers turning model output into business actions.
Streamed responses, push notifications and dashboards — observable and rate-limited.
Production systems with OpenAI, Claude and Gemini featuring automatic fallback, token tracking and prompt caching for reliability and cost control.
Computer vision pipelines that extract structured data from medication labels, enriched with ANVISA catalog matching for validation.
Gemini-powered agents with tool use, stream-based responses and circuit breaker patterns for graceful degradation.
Celery workflows: ad metrics sync every 30 minutes, SLA breach detection every 5 minutes, nightly royalty calculations and CRM sync.
GitHub Copilot Chat integration via OAuth with context-aware prompt building, conversation persistence and rate-limited access.
fal.ai integration for on-demand image generation inside SaaS platforms, as part of real business workflows.
Tooling, experiments and reference architectures I keep public on GitHub.
Medication management with AI-powered OCR, clinic management systems and LGPD-compliant patient data architecture.
Multi-tenant franchise management with automated royalty calculations, ad campaign orchestration and financial sync.
Fantasy sports SaaS with real-time match integration, and academy management with multi-role athlete tracking.
Academic social platform with intelligent portal synchronization, AI chat integration and privacy-first data architecture.
Production multi-tenant platforms with role-based access, real-time communication and automated business workflows.
Open to new projects, opportunities and collaborations — whether you need a full product built from scratch or AI integrated into systems you already run.