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Iago Oliveira

@iagooliveira

Message

AI backend engineer building low-latency RAG and microservices for real-world document and automation workflows.

Brazil

Message

What I'm looking for

I’m looking for a role where I can build scalable backend systems and AI/RAG features that stay low-latency, reliable, and measurable—collaborating with teams that value clean architecture, observability, and practical automation.

I build AI-powered backend systems with a focus on fast, reliable retrieval and automation. Recently, I architected high-performance Retrieval-Augmented Generation (RAG) pipelines for document analysis—designing adaptive chunking, optimizing ingestion to minimize upload-to-chat latency, and improving response quality through prompt orchestration and context management.

Earlier, I delivered healthcare and banking microservices, including OAuth 2.0-secured operator access, real-time queue management, and data synchronization via Azure Service Bus. As a Site Reliability Engineer, I maintained observability foundations (OpenTelemetry, Prometheus, Grafana, Datadog) and automated procedures to help teams keep strong application visibility.

Experience

Work history, roles, and key accomplishments

Current

AI Backend Engineer

Current

Kalmus Labs

Mar 2026 - Present (5 months)

Architected high-performance RAG pipelines for AI-assisted document analysis across heterogeneous document types. Optimized ingestion and retrieval to minimize upload-to-chat latency and improve prompt context injection quality.

Python fastAPI RAG Document Chunking ChromaDB Prompt Engineering Docker

Software Engineer

Thoughtful AI

Sep 2025 - Apr 2026 (7 months)

Developed Python automation pipelines for healthcare data extraction, including claims, payments, and EOB processing. Built web scraping and document processing pipelines using OCR and LLM models.

Python Web Scraping LLM

Backend Python Developer

Nevoa Solutions

Dec 2024 - Jul 2025 (7 months)

Designed and implemented microservices for healthcare unit management, including patient registration, treatment queues, and real-time monitoring. Built an OAuth 2.0 authentication microservice and a data synchronization system using Azure Service Bus for reliable replication.

Python fastAPI Microservices PostgreSQL OAuth Azure Azure Service Bus Queue Management Synchronization Docker

Go Developer (Mid-Level)

CI&T - Itaú

Jan 2025 - May 2025 (4 months)

Built high-performance microservices powering customer-facing banking features such as personalized discounts and credit opportunities. Improved efficiency and reduced logging overhead to lower operational costs.

Go AWS Microservices Performance Optimization Logging

Software Developer

CI&T - Itaú

Aug 2024 - May 2025 (9 months)

Developed high-performance microservices for customer-facing banking application features. Optimized application logging mechanisms to reduce log size and associated costs.

Microservices Performance Optimization

Python Developer (Mid-Level)

CI&T - Itaú

Aug 2024 - Dec 2024 (4 months)

Automated product sales processes to improve efficiency and reduce manual effort. Integrated LLM tools to generate personalized customer text and to automate internal workflows.

Python JavaScript HTML CSS fastAPI PostgreSQL MongoDB AWS Docker LLM

Site Reliability Engineer

Stone Co. & PagarMe

Aug 2022 - Aug 2024 (2 years)

Developed and maintained an observability platform to improve application health visibility for teams. Standardized telemetry collection and automated procedures to speed up client operations.

Python Go JavaScript Terraform Datadog AWS Kubernetes

Software Development Lead

Software Practices Laboratory (SPLab)

Mar 2020 - Aug 2022 (2 years 5 months)

Led development of a distributed system for automatic AI-assisted data processing to support Federal Police investigations. Modeled investigation data as a graph in MongoDB, implemented NLP/data analysis pipelines, and built an interactive D3.js visualization frontend.