backend engineering × applied AI

Gabriel
Bressan

Backend Software Engineer building the bridge between AI capabilities and systems you can rely on.

I design RAG pipelines, semantic search and the microservices underneath them — turning research into products teams trust in production.

about

Engineering that makes AI dependable.

I'm a backend software engineer working at the intersection of AI and engineering — part of an R&D squad that turns research into products people can actually rely on.

My work centers on RAG pipelines, vectorization, semantic search and context retrieval — connecting LLMs to enterprise data sources with Java, Spring Boot and Python. Underneath the AI features, I build the REST APIs and microservices that hold everything together.

I care about clean architecture, resilience and well-tested code — the kind of engineering that lets a smart idea survive contact with production.

Role
Backend Software Engineer
Focus
AI · RAG · Semantic Search
Core stack
Java · Spring Boot · Python
Based in
Brazil 🇧🇷 · Remote
Languages
Portuguese (native) · English (professional)
python
stack

The tools I reach for.

01Languages & Frameworks

JavaSpring BootPython REST APIsMicroservicesMavenGradle LangChainPyTorchLangfuse

02AI & Retrieval

RAG PipelinesVectorizationSemantic Search LLM IntegrationContext Retrieval Agentic ChatbotsMCPs

03Data & Messaging

PostgreSQLOracleElasticsearch KafkaSQL

04Engineering & DevOps

GitDockerCI/CD Unit TestingIntegration Testing Clean ArchitectureOOP
experience

Where I've built.

Attus Procuradoria Digital · 1 yr 6 mos

Software Engineer

Aug 2025 — Present
  • Design and build RAG pipelines and semantic search that connect LLMs to enterprise data for context retrieval.
  • Develop AI-driven backend services in Java (Spring Boot) and Python inside an R&D squad.
  • Build and maintain the REST APIs and microservices that AI and automation features run on.
  • Run data pipelines and integrations with Elasticsearch and Kafka.
  • Keep delivery reliable with automated tests, code-quality practices and CI/CD.
  • Shape scalable backend architecture around clean code, resilience and long-term maintainability.
Attus Procuradoria Digital

Junior Software Engineer

Jan 2025 — Aug 2025
  • Backend development in Java, focused on testable, well-organized code.
  • Built and maintained unit and integration tests.
  • Contributed to system architecture and ongoing backend maintenance.
  • Modeled, queried and maintained relational databases.
  • Supported CI/CD pipelines for faster, more reliable delivery.
education

How I got here.

Universidade do Sul de Santa Catarina

B.Sc. — Computer Science

2023 — 2027
Alura

Java Development Course

Jun 2024 — Jun 2025
UNISUL / FAPESC

Development Course — DEVTI

Jan 2022 — Dec 2022
additional courses
Oracle Academy

Oracle Database Foundations

Mar 2023 — Jun 2023
Cisco Network Academy

Cybersecurity Essentials

Jul 2023 — Dec 2023
events

Where I show up.

conference

DevTech 2025

2025

A technology conference where I deepened knowledge of RAG architectures and applied AI — covering practical use cases from retrieval pipelines to LLM integration in real production systems. Also a great opportunity for networking and connecting with people in the industry.

RAG Applied AI LLM Integration Retrieval Pipelines Networking
contact

Let's build something reliable.