Hugo Parreão

AI Forward Deployed Engineer · MSc AI Engineering, ISEP

Applied AI research, production systems, and technical writing. I work at the boundary between lab and customer: designing evaluations, hardening pipelines, shipping what comes out of the paper into the product.


Featured projects

doclingconverter

Converts files (PDF, DOCX, HTML, PPTX, images) into structured formats (MD, JSON, YAML) using Docling and Streamlit.

★ 14⑂ 5Python

Awesome-AI-Evaluation-Guide

Comprehensive, implementation-focused guide for evaluating LLMs, RAG systems, and agentic AI in production environments.

★ 12⑂ 1Markdown

multiagentsystem-parkingmanagement

Parking management with IoT and an integrated multi-agent system. Real-time occupancy monitoring and availability detection.

Python

rag-voice-assistant

RAG-powered voice assistant: upload PDFs and interact with them via voice and text.

⑂ 1Python

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Writing

Technical notes on applied AI: model evaluation, RAG in production, context engineering.

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Threads

Short notes and takes — extended versions of my posts.

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Skills

Reusable components and playbooks for taking applied AI to production.

Backend & API Hardening

Procedural memory for diagnosing and fixing recurring performance, security, and error-handling issues in backend services and APIs.

Mac Developer Cleanup

A safe workflow for identifying and removing regenerable developer artifacts on macOS, always inspecting sizes and requesting confirmation before deletion.

MCP Security Hardening

Procedural memory for designing, reviewing, and hardening MCP servers with least privilege per tool, contract validation, and safe agent-facing responses.

LGPD Engineering

A single skill for translating LGPD into engineering controls: data mapping, minimization, consent, data-subject rights, retention, vendors, and incident response.

Ultra Writing

A clear, concise, reflective writing framework for technical texts, articles, messages, and social posts, with tone calibrated to purpose and audience.


Links

Contact

Open to applied research, mentorship, and projects. For collaborations, describe context and scope in your first message.

Or directly: hugo.aifde@gmail.com