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In love with Flutter
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In love with Flutter
  • VitΓ³ria - Brazil

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marcossoliveira/README.md

Hey, I'm Marcos πŸ‘‹

Software engineer Β· backend, infrastructure, and applied AI
From billion-row databases to multi-agent systems, with a soft spot for cross-platform apps
πŸ“ VitΓ³ria, ES β€” Brazil

PostgreSQL at scale Go Kubernetes LLMs, RAG and agents Flutter


About me

  • πŸ—„οΈ I like the hard parts of databases: multi-terabyte PostgreSQL, billion-row tables, autovacuum tuning, online index builds, and connection pooling.
  • πŸ“¨ I build event pipelines: high-volume consumers, batch inserts, prefetch/ack tuning, and autoscaling that follows the queue.
  • πŸ€– I build with LLMs end to end: RAG, agents and multi-agent architectures, tool use, fine-tuning, evaluation, and guardrails.
  • 🧱 Polyglot by necessity and by taste: Go, TypeScript, Rust, .NET, Python, Kotlin, Swift, and more.
  • πŸ’™ Cross-platform apps are my soft spot: Flutter, React Native, Tauri, and Electron.
  • πŸ§‘β€πŸ« I enjoy teaching and writing clear, step-by-step explanations.
  • β˜• Coffee is necessary.

Tech stack

Languages

TypeScript Go Rust .NET Python Kotlin Swift Dart JavaScript Java

Backend

Node.js NestJS TypeORM RabbitMQ

Databases

PostgreSQL MySQL SQL Server MongoDB Redis Vector DBs

Infrastructure

Kubernetes Docker Terraform Linux

Web, mobile & desktop

Angular React React Native Flutter Tauri Electron Tailwind CSS

AI

LangChain LlamaIndex CrewAI Ollama n8n Obsidian


AI engineering

Area What I work with
Retrieval RAG pipelines, embeddings, chunking strategies, vector databases
Agents Agent and multi-agent architectures, function calling and tool use
Orchestration LangChain, LlamaIndex, CrewAI
Models LLM, SLM, and multimodal model APIs, local models, fine-tuning
Prompting Prompt engineering and structured output
LLMOps Evaluation, benchmarking, and observability
Safety AI security and guardrails

Backend & infrastructure

Area What that means in practice
PostgreSQL at scale Autovacuum tuning on very large tables, CREATE INDEX CONCURRENTLY, JSONB, connection pooling, storage and bloat investigation
Message-driven systems RabbitMQ consumers, prefetch and ack strategy, batch writes, backpressure
Kubernetes Running and scaling workloads with HPA, debugging networking, day-to-day operations
Infrastructure as code Terraform, Docker, Linux
Backend services Go consumers and NestJS + TypeORM workers built for throughput

Featured project

πŸ–ΌοΈ Reticula

Free and open source photo layout software for real print sheets. A desktop editor built with Flutter, focused on what matters for print: exact physical dimensions, high-DPI export, and precise PDF output.


Measure first, then optimize.

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