Available for opportunities

Iago Rhudá Ramos

Computer Engineer

Building AI and Automation solutions focused on efficiency and real-world integration.

ABOUT ME

Computer Engineering student specializing in Artificial Intelligence and Automation. My approach bridges the technical precision of software with the physical constraints of hardware, delivering solutions that are not only theoretically sound but operationally efficient.

At 18, I founded and managed my own clothing brand — an experience that sharpened my understanding of financial viability, resource allocation, and strategic decision-making. After determining that the opportunity cost outweighed the immediate returns, I redirected my focus toward technical education. Today, I channel that same analytical mindset into building intelligent systems that solve real-world problems.

Date of Birth:February 7, 2003 | 23 Years

Local:Paris, France

Interests

Astronomy & Space

Focus:Aerospace Engineering and Orbital Mechanics

Interests:SpaceX architecture, NASA robotic exploration, ESA satellite infrastructure

Engineering & AI

Focus:Neural Network Architectures and System Automation

Practice:Building intelligent systems integrated with sensors and microcontrollers

Fitness & Cooking

Training:Consistent strength training and a focus on physical wellbeing

Nutrition:Passion for cooking and disciplined dietary habits

Music & Literature

Rock:Linkin Park, Falling in Reverse, Evanescence

Classical:Tchaikovsky (favourite), Beethoven, Vivaldi

2025 - In Progress (Expected: 1st Semester 2027)

Université de Technologie de Compiègne (UTC)

Double Degree - Ingénieur en génie informatique spécialisé en IA

Compiègne, France

2022 - In Progress (Expected: 1st Semester 2027)

Pontifícia Universidade Católica do Paraná (PUCPR)

Bachelor's Degree - Computer Engineer

Curitiba, Brazil

2018 - 2021

Centro Estadual de Educação Profissional de Curitiba (CEEP)

Building Technician

Curitiba, Brazil

Programming & AI

Python

Data Science & Analytics

PandasNumpy

Machine Learning & Deep Learning

PyTorchTensorFlowScikit-LearnTabPFN

Web

Flask

Programming Languages

HTML*GOJavaC/C++CSSLisp

Hardware & Systems

Microcontrollers

ESP32Arduino

Systems

Linux (Debian & Fedora)GitWindowsDocker

Natural Languages

🇧🇷

Portuguese

Native

🇺🇸

English

Advanced (Est. B2+)

🇫🇷

French

Advanced B2+

PORTFOLIO

Portfolio

A curated selection of projects I have designed and built.

Web Dev

Visit

Personal Portfolio v1

Full-stack portfolio built with Bootstrap and deployed on Netlify.

BootstrapHTMLCSSJavaScript

Web Dev

Personal Portfolio v2

Personal portfolio built with Angular 15, featuring dynamic i18n translation across 9 languages and modern dark/light theming.

AngularTypeScriptBootstrapi18n

AI & NLP

Live App

Natural Language Search Engine

NLP-powered information retrieval engine built from scratch in Python. Features a Glassmorphism web dashboard, TF-IDF ranking, spell-checker, and boolean metadata search.

PythonFlaskNLPTF-IDF

AI & NLP

RAG

Retrieval-Augmented Generation (RAG) system integrating large language models with custom document retrieval pipelines for context-aware AI responses.

PythonLangChainRAGLLM

Publications

Academic and technical publications I have contributed to.

Open

Tabular Prior-Data Fitted Network For Structural Damage Prediction

Evaluation of the TabPFN algorithm for structural damage prediction. Results demonstrate excellent accuracy without hyperparameter tuning, outperforming traditional models with strong potential for structural health monitoring.

Wind Turbine Failure Prediction (PIBIC)

Undergraduate Research at PUCPR using Principal Component Analysis (PCA) and Logistic Regression to predict cracks in wind turbine blades.

GitHub:

Explore my open-source projects and contributions on GitHub.!

Linkedin:

Connect on LinkedIn for professional networking and opportunities..