Felipe Faria · software developer · Brazil
I build productsend to end— backend, AI, frontend and infra.
Two multi-tenant SaaS products in production and a lab with 230+ proofs of concept. I study every day, measure the result and document the decision.
- /frontend
- /ai
- /java
- /go
- /python
- /kafka
- /db
- /data
- /infra
- /architecture
- /algorithms
- /frontend
- /ai
- /java
- /go
- /python
- /kafka
- /db
- /data
- /infra
- /architecture
- /algorithms
Projects
Two multi-tenant SaaS products, from zero to operation.
atende.expert
AI-powered customer service and scheduling over WhatsApp
Multi-tenant SaaS for clinics, salons, barbershops and pet shops: an AI agent talks to the customer, checks real availability, books, reschedules, sells and escalates to a human — all supervised from an operations console.
- Java 25
- Spring Boot 3.5
- PostgreSQL
- pgvector
- Node 22
- TypeScript
- Vercel AI SDK
- +10
Publicidade da Cidade
Vendor compliance for agencies serving city governments
Portal that tracks tax, labor and registration certificates for hundreds of vendors per client, queries government agencies automatically and publishes everything on a transparency portal as required by Brazilian Law 12.232/2010.
- Python 3.11
- Django 5.2
- Graphene
- GraphQL
- PostgreSQL
- django-tenants
- Celery
- +10
Areas
What I work on
Frontend in depth
React 19, RSC, SvelteKit, zoneless Angular, Web Components, micro-frontends, performance and CSP.
Polyglot backend
Java/Spring, Go, Python (Django, FastAPI), Node. Language chosen by the problem.
Data and messaging
Kafka, Debezium CDC, Schema Registry, TimescaleDB, pgvector, OpenSearch, PostGIS, Redis in 7 patterns.
AI with engineering
RAG with citations, tool use, NL→SQL agents, cost-based routing, PII privacy at the protocol level.
Observability
Prometheus, Grafana, OpenTelemetry with context propagated through Kafka, k6 for load.
Infra and DevOps
Multi-provider Terraform, EKS, Kubernetes, Helm, Jenkins with RBAC, Docker Compose across 20+ environments.