Emiliano Agüero
From backend APIs to AI agents — I build the systems that make AI work in production.
I'm a Python developer specializing in AI systems — from LLM-powered agents and retrieval pipelines to production APIs with FastAPI. I design and build the backend infrastructure that turns AI research into working products.
Stack
AI / ML
Backend & Infra
Frontend
Automation
Experience
AI Developer / Python Developer
Jul 2023 - PresentNeuronic
- Led NeuroAI platform architecture for autonomous AI agents with vector DB integration and SQL execution
- Built RAG pipelines with ChromaDB and Pinecone for document retrieval and question answering
- Designed FastAPI microservices on Digital Ocean with Docker and Kubernetes
- Applied prompt engineering and fine-tuning techniques for LLM optimization
- Automated internal workflows using AI agents
Python Developer
Jan 2023 - Presentsevendatarivers
- Built automation tools with PyAutoGUI for process optimization
- Improved team productivity by reducing manual repetitive tasks
Backend Developer
Feb 2021 - Dec 2022Freelance Projects
- Built RESTful APIs with Flask and SQLAlchemy
- Designed database architecture in MySQL and PostgreSQL
- Managed full development lifecycle with Git and GitHub
Projects
NeuroAI
Problem: Organizations needed a way to deploy autonomous AI agents that could reason over internal documents, execute SQL queries, and integrate with messaging platforms like WhatsApp — without building everything from scratch.
Outcome: An AI agent platform for creating and orchestrating autonomous agents with vector database integration and WhatsApp API connectivity, enabling teams to automate document analysis and multi-step workflows.
LectinAI
Problem: Researchers at UNLP lacked accessible tools to perform computational morphometric analysis on biological tissue samples, requiring manual quantification of lectins that was slow and error-prone.
Outcome: A cross-platform computational morphometric analyzer with a custom ResNet18 model built in PyTorch for automatic quantification of lectins in biological tissue, with image processing via OpenCV and a Streamlit interface.
Live Demo