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< coding with high frequencies />
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< coding with high frequencies />
34 followers · 51 following

Achievements

Achievement: Open Sourcererx2Achievement: Pair Extraordinairex3Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO

Achievements

Achievement: Open Sourcererx2Achievement: Pair Extraordinairex3Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO

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blpsoares/README.md

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Backend engineer with 5+ years building scalable systems with Node.js and TypeScript. Over the past 3 years, deep focus on applied AI — designing and shipping LLM-powered features, multi-agent systems, RAG pipelines, and workflow automation in production environments.

Currently building AI features at scale at Eletromidia in São Paulo. Postgraduate student in Applied AI Engineering at UNIPDS.


⚡ Open Source

🦆 DuckFlux

Declarative YAML DSL for multi-agent AI orchestration — parallel execution, CEL-powered conditionals, state machine flow control, native MCP support, and nested sub-workflows.

TypeScript Bun Go YAML DSL MCP LLM Orchestration

🚀 Embark

Zero-config CI/CD framework for AI-assisted monorepos — auto-generates GitHub Actions workflows, Dockerfiles, and Cloud Run / Netlify / Cloudflare deploy pipelines on every commit.

TypeScript Bun GitHub Actions Docker GCP Cloud Run

🧠 Tech Stack

AI

OpenAI Anthropic Gemini TensorFlow RAG MCP

Backend & Infrastructure

My Skills

Databases

My Skills

Automation & Tools

My Skills N8N Windmill


💼 Experience

Senior Backend Engineer · Eletromidia · 2025 – present

Technical leadership on AI-powered features with OpenAI & Claude APIs. System architecture with AI-assisted modelling. Large-scale data processing with Node.js Streams.

Backend Engineer · Eletromidia · 2024 – 2025

Built an AI agent that converts natural language to MongoDB queries. AI-assisted unit test generation pipeline (−60% testing overhead). MCP servers connecting LLMs to project context. N8N & Windmill automation workflows.

Backend Developer · Alest Consultoria · 2023 – 2024

RAG-based chatbot (Dialogflow CX + 100 internal PDFs) for a pharmaceutical client. Document AI extraction pipeline. Large-scale document migration (20k+ files).



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  1. nodejs-streams-exercice nodejs-streams-exercice Public

    TypeScript 7 5