About Me

Backend Software Engineer focused on applied AI, software architecture, internal systems, automation, and data. I build platforms with Python, FastAPI, Node.js, TypeScript, SQL, and cloud infrastructure to turn real operations into reliable, observable, and evolvable software.

My work combines multi-agent RAG platforms, AI assistants, product backends, automation, data pipelines, and internal systems. I design AI solutions as part of the software itself: with retrievable context, controlled tools, memory, fallback behavior, permissions, logs, and traceability.

I also work with backend architecture, queues, caching, tests, CI/CD, observability, data security, and integrations when they belong to a larger system. The goal is to reduce manual work, clarify operational flows, and keep systems easy to evolve in real usage.

Professional Experience & Enterprise Environments

Freelance & Contract Work

1 LATAM contract

Loja do Sapo

Backend platforms, applied AI, automations, integrations, dashboards, and operational systems.

2 consolidated roles

iCaiu

Systems integration, data pipelines, cloud, BI, backend automation, and solution architecture.

1 current role

WR Auto Peças

Technical operations, process automation, inventory control, internal tooling, and systems support.

1 role

Engineering Operating Model

System boundaries

Clear contracts between UI, backend, agents, workers, and storage

I keep each responsibility in its own layer so business rules, models, tools, data, and integrations can evolve without invisible coupling.

Replayable execution

Inputs, states, traces, normalized models, and audit trails

AI, automation, and data workflows need to be rerunnable: failures should be inspectable, correctable, and replayable without losing original context.

Operational Feedback

Signals before surprises

Dashboards, logs, real-time events, scheduled checks, and failure summaries help expose drift before it turns into hidden risk.

AI-Assisted Delivery

Agent speed with engineering review

I use AI agents to accelerate exploration, scaffolding, and validation while keeping architecture, security, and production behavior under human review.

Languages, Technologies & Stack

Languages & Core Stack Python JS JavaScript TypeScript FastAPI AWS Deluge HTML5 CSS3 Docker SQL

Academic & Certification Exposure Java PHP React C C++ C#

Data & Cloud PostgreSQL Supabase Google Cloud Cloudflare Workers ETL Pipelines Data Modeling

Integrations REST APIs GitHub Actions Zoho Systems Integration Process Automation

Architecture Backend Architecture Applied AI RAG LLM Integrations Async Processing Caching System Design Operational Dashboards Rules Engines Integration Governance

Explore project paths

Open curated entry points for AI systems, LLM/RAG, backend architecture, system integration, and Python automation.

Python | FastAPI | LLMs AI Engineer Applied AI projects covering LLMs, agents, RAG, vector memory, AI automation, internal assistants, and backend systems that support AI in production-oriented contexts. Open path Python | FastAPI | REST APIs Backend Python Curated backend Python projects focused on FastAPI, REST APIs, PostgreSQL, SQL, automation, integrations, cloud deployment, GitHub Actions, internal systems, and reliability. Open path RAG | LLMs | Ollama LLM / RAG Engineer Projects focused on RAG, local and cloud LLM usage, Ollama, LangGraph, ChromaDB, prompt boundaries, context retrieval, vector memory, and contextual search. Open path REST APIs | Webhooks | ETL API Integration Engineer Integration projects focused on APIs, webhooks, ETL, GitHub Actions, Zoho, Hablla, Zenvia, SIGE, Omie, Google Sheets, Supabase, SQL, idempotency, and operational data. Open path Python | Automation | Scheduled jobs Python Automation Automation projects focused on internal routines, process automation, pipelines, scheduled jobs, operational backend work, and reliability-oriented execution. Open path

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Contact & Professional Inquiries

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