Willie Alcaraz


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Graduate of University of Nevada Las Vegas holding a Bachelor of Science degree in Computer Science.

Academic Tutor at College of Southern Nevada, mentoring CS students allowing them to excel in their studies and understanding of programming language concepts and algorithms.

Resilient lead in the Drumbots, a world-renowned international LED percussion act well known as the the official NHL drumline for the Vegas Golden Knights.


The demand for software solutions increase at the rate of rapidly expanding technologies. I envision the future of software solutions for tomorrow's digital landscape thriving at the crossroads of innovation and technology.

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LED Control Module

Real-World testing

Developed a custom drum trigger LED module tailored for the Drumbots to enhance their performances for the Vegas Golden Knights as well as local and international performances.
Highlights:

  • Dynamic LED customization
  • Drum trigger interaction with LED lighting
  • ARGB strip integration for customized lighting effects
  • Scalable and reliable design
  • Real-time responsiveness for rhythmic trigger
Technologies and Tools:
  • C++ (AVR-GCC Compiler)
  • Arduino microcontroller
  • Piezo and Infrared sensors
  • Embedded systems design

View GitHub Repository

F1tenth Autonomous Racing

A collaborative effort developing an autonomous vehicle capable of navigating tracks quickly and efficiently, using environmental sensors and algorithms to make real-time decisions while minimizing error.
Key Features:

  • Autonomous Navigation Algorithms Development
  • Simultaneous Localization and Mapping (SLAM)
  • Deep Learning
Technologies utilized:
  • Python
  • C++
  • ROS (Robot Operating System)
  • Docker
  • LiDAR
  • TensorFlow

View GitHub Repository

Personal Webpage

This webpage showcases effects such as parallax as well as animations to create a responsive webpage to serve as a personal portfolio / website as well as a continous project to learn and explore features.
Key Features:

  • Dynamic animations
  • Smooth scrolling
  • Parallax
  • Interactive elements
Technologies utilized:
  • HTML, CSS
  • JavaScript
  • Intersection Observer API
  • Bootstrap framework

View GitHub Repository

CNN Seizure Prediction

Contributed to a group project developing a convolutional neural network to predict seizures using raw electroencephalogram (EEG) data and spectrograms, demonstrating machine learning applications in healthcare.
Key Features:

  • EEG data preprocessing
  • Spectrogram analysis
  • Convolutional Neural Network (CNN)
  • Seizure detection
Technologies utilized:
  • Python
  • TensorFlow
  • Numpy
  • Matplotlib

View GitHub Repository
Willie Alcaraz

"Anyone who has never made a mistake has never tried anything new."
- Albert Einstein