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Samuel-Bulnes/README.md

Hi, I'm Samuel Bulnes

Building digital experiences that connect people | Web & Mobile Developer

  I am a passionate Web and Mobile Developer focused on creating modern, functional, and visually engaging digital experiences. I enjoy turning ideas into impactful technological solutions by combining clean design, performance, and purpose.

🚀 What I Can Build

  Web Applications / Mobile Applications / Database-Driven Systems / Software Solutions

🎓 Education

 Bachelor of Science & Engineering
  Oral Roberts University 2023 - 2026

 Minor in Mathematics
  Oral Roberts University 2023 - 2026

📜 Certifications

 Fundamentals of Computer Science Certificate (CFC)
  Oral Roberts University - 2023

 Fundamentals of Data Structures and Database Development Certificate (CDD)
  Oral Roberts University - 2024

🙌 Faith & Leadership

 A committed Christian with a passion for leadership and service. I have experience participating in missions, events, and community initiatives that positively impact youth and children, integrating faith, values, and action.

Tech Stack

Mobile Development

 Cross-Platform
  Flutter Dart

 iOS
  Swift Xcode

 Android
  Java XML Android Studio

Languages

 Core Programming
  Python Java C++ Swift Dart

 Web
  JavaScript HTML5 CSS3 XML

 Backend / Data
  PHP SQL

Frameworks

 Mobile
  Flutter

 Backend
  Node.js Express.js

Libraries

 AI / Data
  TensorFlow PyTorch OpenCV
  NumPy Pandas

Tools

 Dev & Version Control
  Git GitHub Docker

 IDEs
  Android Studio Xcode VS Code

 Cloud / Backend
  Firebase

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  1. Keaton-Ruthardt/AIBaseballProject Keaton-Ruthardt/AIBaseballProject Public

    This project is to implement Computer Vision into an AI model that looks at finding the probability if a runner will be safe or out on trying to advance in baseball.

    HTML 1

  2. time-series-transformer-model time-series-transformer-model Public

    Transformer-based deep learning model for univariate time series classification. Implementation in Keras/TensorFlow with multi-head self-attention, achieving 83% validation accuracy on UCR FordA da…