SOFTWARE ENGINEER & DATA ENTHUSIAST

Felipe Yabiko
Nogueira.

Applying logic and mathematics to solve complex real-world problems. Specializing in Machine Learning, Android Architectures, and Embedded Systems.

Explore Work
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PYTHON◆ MACHINE LEARNING◆ KOTLIN◆ ANDROID STUDIO◆ PANDAS◆ SCIKIT-LEARN◆ JAVA◆ FIREBASE◆ PYTHON◆ MACHINE LEARNING◆ KOTLIN◆ ANDROID STUDIO◆

Selected
Projects

A curated selection of academic and personal technical projects tackling predictive models, embedded system control, and AI integration.

01

Locker Control System

Android / Kotlin NFC Firebase

An integrated locker access system using NFC authentication via smart wristbands. Built an intuitive mobile application for secure management.

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02

Cancer Survival Predictor

Machine Learning Python Scikit-learn

ML classification models predicting patient survival based on clinical data. Utilized PCA dimensionality reduction and hyperparameter tuning (GridSearchCV) on KNN and MLP architectures.

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03

Economic Echo

Android Gemini AI API

An Android application that aggregates economic news and utilizes the Gemini LLM API to generate automatic, real-time summaries and insights for users.

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Academic
Background

Aug 2023 - Jul 2027

B.S. Software Engineering

PUC Campinas (SP, Brazil)

Extensive academic training through practical, semester-long integrated projects focusing on full-stack development, ML, and software architecture.

2019 - 2021

Technical High School (Informatics)

CEMEP

Foundational programming, logic, and systems integration courses.

Technical
Arsenal

Core Engineering

Python Java Kotlin C Object-Oriented Programming Data Structures

Data & Machine Learning

Scikit-learn Pandas NumPy Jupyter Data Analysis

Tools & Platforms

Android Studio Git / GitHub Firebase Figma