Miguel Ángel
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Hey, I am Rodrigo Carreira

Software & AI Engineer from Málaga, Spain 🇪🇸 and I am a Specialist in implementing AI and Generative AI pipelines tailored to business needs.

Work Experience

  1. •

    Jr. AI Software Engineer

    Tupl Inc.

    Developed and deployed AI, ML, and GenAI solutions across internal TuplOS tools and enterprise services, integrating LLMs, RAG pipelines, and AI agents to automate workflows and enhance system intelligence. Designed and implemented an agentic framework supporting MCP, A2A communication, RAGs, and multi-agent orchestration, enabling the creation and deployment of custom AI agents for diverse use cases across the company and partner ecosystems

    As a qualified software engineer, led the end-to-end development lifecycle of AI-driven systems, including architecture design, CI/CD pipeline implementation using Jenkins, and production deployment using Kubernetes and Docker. Designed scalable microservice architectures, created and maintained Helm charts for automated Kubernetes deployments, and implemented cluster monitoring and service management to ensure reliability and scalability. Applied modern software design patterns, optimized database integration, and collaborated cross-functionally to deliver robust, secure, and high-performance enterprise solutions aligned with business objectives
  2. •

    AI Researcher

    Scenic and KHAOS Research Group, ITIS UMA

    Coauthored and published the SAES Python library for non-parametric statistical tests with researcher Antonio J. Nebro, enabling advanced statistical analysis and visualization. Conducted research on automatic code generation using Large Language Models (LLMs), integrating LangChain with frameworks such as jMetal and jMetalPy for multi-objective optimization.

    Developed business process optimization solutions using machine learning (ML) and Graph Neural Networks (GNNs). Worked with Business Process Model and Notation (BPMN) tools such as Activiti, Bonita BPM, and Camunda. Applied my knowledge of artificial intelligence, focusing on machine learning and GNNs, while also utilizing genetic algorithms, neural networks, and optimization techniques.

Projects

NND

NND
Python Numpy Pandas Pytorch YOLO

Segmenting sclerosis lesions on 3‑D MRI volumes is a critical yet time‑consuming step in clinical workflows. This repository contains the open‑source code, experiments and analysis accompanying my bachelor’s thesis, which investigates the synergy between YOLOv11 object detection and nnUNet semantic segmentation, enhanced by a novel 3‑D consensus‑ensemble strategy.

SAES

SAES
Python Numpy Pandas

SAES is a Python library designed to analyse and compare the performance of stochastic algorithms (e.g. metaheuristics and machine learning techniques) on multiple problems. It includes statistical tests (Friedman, Wilcoxon, Nemenyi), data visualization tools (boxplots, critical distance plots), automatic LaTeX report generation, now with support for multi-objective Pareto front plots in 2D, 3D, parallel coordinates for higher dimensions and Bayesian Posterior Plot.

Education

  1. Master's degree in Artifical Intelligence (MSc)

    UNIR - Rioja's International University

  2. Bachelor's Degree Software Engineering (B.Sc)

    Málaga University (UMA)

  3. Scientific Baccalaureate

    Novaschool Añoreta

Language Certifications

  1. Certificate of Proficiency in English (C2)

    Cambridge University Press and Assessment English

Technical Certifications

Nvidia DLI

7 certifications

Disaster Risk Monitoring Using Satellite Imagery

Getting Started with AI on Jetson Nano

Efficient Large Language Model (LLM) Customization

Rapid Application Development with Large Language Models (LLMs)

Building Transformer-Based Natural Language Processing Applications

Fundamentals of Deep Learning

Fundamentals of Accelerated Computing with CUDA C/C++

Oracle

5 certifications

Oracle AI Vector Search Certified Professional

Oracle Cloud Infrastructure 2025 Certified Data Science Professional

Oracle Cloud Infrastructure 2025 Generative AI Certified Professional

Oracle Guided Learning Content Developer Certified Foundations Associate

Oracle Guided Learning Project Management Foundations Associate

Mastermind

2 certifications

Git: ¡de Noob a Pro!

Aprende a programar con Python

Salesforce

1 certification

Salesforce AI Associate

Udemy

1 certification

Aprende a usar bien Microsoft Word

About Me

I’m Rodrigo, a Software Engineer specializing in Artificial Intelligence and Generative AI, currently pursuing a Master’s in AI at the University of Málaga. I work at Tupl Inc. as a Junior AI Software Engineer, where I design and deploy LLM-based systems, RAG pipelines, and AI agents to optimize enterprise workflows and internal tools.

My background combines industry and research — from developing deep learning models for MRI segmentation and business process optimization with Graph Neural Networks, to creating the SAES Python library for statistical analysis of stochastic algorithms.

I hold several certifications from Oracle and Nvidia’s Deep Learning Institute in Generative AI, Data Science, and Transformer-based NLP. Passionate about AI innovation and scalable architectures, I thrive on bridging research and real-world applications in production-grade systems.

Rodrigo Carreira