AI ENGINEER · FLORIDA, USA
Real problems.
Thoughtful code.
Applied AI.
Hi, I’m Edilma. I build RAG systems, multi-agent workflows, and data pipelines that turn complex information into something useful.
Available for remote roles · Full-time & contract
PROBLEM SOLVER BY NATURE.
with intention.”— Edilma
SELECTED WORK / GITHUB PINNED PROJECTS
Built with purpose.
Open for exploration.
From document intelligence to autonomous agents. Explore the problem, the approach, and the code behind each project.
RAG Document Assistant
A document assistant that answers questions from a private collection of government PDFs, built to help a relative navigate conflicting information about a Canadian humanitarian program.
AI Blog App
An open-source Python library where a writer, a critic, and specialized reviewers collaborate to generate and refine articles. Published on PyPI.
AI Agent Orchestrator
The original multi-agent framework for writing, critiquing, and reviewing articles. This project connects an engineering approach to practical content marketing needs.
Structural Risk Index
A pipeline that extracts municipal code violations, normalizes records across South Florida cities, and ranks 1,089 properties in an interactive dashboard. Built at LandingAI Financial Hack NYC 2025.
Receipt Data Extractor
A document processing program using Azure Cognitive Services to extract receipt data for use in accounting, analytics, or other downstream applications.
NYC Taxi Fare & Tip Analysis
An in-progress analytics and machine learning project exploring fare pricing and tipping behavior in 2017 NYC yellow taxi data as part of the Automatidata program.
THE PERSON BEHIND THE CODE
An engineer’s mindset.
A marketer’s perspective.
I started programming out of impatience. Every small change to a landing page meant calling a developer and waiting. Learning to do it myself turned out to be faster.
I’m an industrial and software engineer with a background in lead generation, PPC, and email automation. I returned to engineering full-time in 2022, bringing a practical understanding of how businesses find and serve their customers.
My projects start with a real business problem: data trapped in documents, content that needs a better workflow, or systems that should be talking to each other.
LET’S BUILD SOMETHING USEFUL