Backend & API Hardening
Procedural memory for diagnosing and fixing recurring performance, security, and error-handling issues in backend services and APIs.
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.
Converts files (PDF, DOCX, HTML, PPTX, images) into structured formats (MD, JSON, YAML) using Docling and Streamlit.
Comprehensive, implementation-focused guide for evaluating LLMs, RAG systems, and agentic AI in production environments.
Parking management with IoT and an integrated multi-agent system. Real-time occupancy monitoring and availability detection.
RAG-powered voice assistant: upload PDFs and interact with them via voice and text.
Technical notes on applied AI: model evaluation, RAG in production, context engineering.
Short notes and takes — extended versions of my posts.
Reusable components and playbooks for taking applied AI to production.
Procedural memory for diagnosing and fixing recurring performance, security, and error-handling issues in backend services and APIs.
A safe workflow for identifying and removing regenerable developer artifacts on macOS, always inspecting sizes and requesting confirmation before deletion.
Procedural memory for designing, reviewing, and hardening MCP servers with least privilege per tool, contract validation, and safe agent-facing responses.
A single skill for translating LGPD into engineering controls: data mapping, minimization, consent, data-subject rights, retention, vendors, and incident response.
A clear, concise, reflective writing framework for technical texts, articles, messages, and social posts, with tone calibrated to purpose and audience.
Open to applied research, mentorship, and projects. For collaborations, describe context and scope in your first message.
Or directly: hugo.aifde@gmail.com