Hi, my name is

Ashton Alva. I build things for the web.

I'm a Computer Science student passionate about AI, cybersecurity, and full-stack development. I enjoy building innovative solutions and constantly exploring new technologies to improve user experiences.

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01.

About Me

Hello! I'm Ashton, a Computer Science student based in the US, passionate about creating exceptional digital experiences through code.

I specialize in building full-stack applications with a focus on modern technologies, AI integration, and cybersecurity. My goal is to create solutions that are not only functional but also elegant and user-friendly.

Here are a few technologies I've been working with recently:

  • JavaScript (ES6+)
  • Python
  • React
  • Node.js
  • Machine Learning
  • Cybersecurity
02.

Some Things I've Built

Featured Project

Ascend - iOS Workout Tracker

Built a comprehensive iOS workout tracking app with real-time exercise monitoring, automatic PR detection, progress visualization, and iCloud synchronization.

  • Swift
  • SwiftUI
  • CloudKit
  • MVVM

Featured Project

Edge QUIC CV - Real-Time Multi-Feed Video Dashboard

Built a real-time video streaming dashboard that displays synchronized video feeds from edge devices using QUIC protocol, with improved WebSocket handling and automated deployment scripts.

  • React
  • TypeScript
  • Python
  • QUIC
  • OpenCV

Featured Project

Cafeteria Ordering System (COS)

Led the development of a cafeteria ordering web application built with Flask. The system allows users to browse a menu, add items to a cart, and complete the checkout process. Managed team coordination, feature planning, and testing documentation.

  • Python
  • Flask
  • HTML/CSS
  • JavaScript

Project

RAG Chatbot with IBM Watsonx

Built a Retrieval-Augmented Generation (RAG) chatbot that answers questions from uploaded PDFs using IBM Watsonx LLM and LangChain. Implemented the full pipeline including document loading, vector embedding with Chroma, and QA retrieval via RetrievalQA.

  • Python
  • IBM Watsonx
  • LangChain
  • Gradio
  • Chroma

Project

Machine Learning Fundamentals

Applied core ML techniques including classification, regression, clustering, and dimensionality reduction using Scikit-learn, Pandas, and NumPy. Built and evaluated models using logistic regression, SVM, k-means, DBSCAN, and PCA.

  • Python
  • Scikit-learn
  • Pandas
  • NumPy

Project

Watson NLP Emotion Detector

Developed a web application using IBM Watson Natural Language Processing to detect and classify emotional tone in user input. Integrated Flask for the backend and designed the interface using HTML/CSS/JavaScript.

  • Python
  • Flask
  • IBM Watson
  • HTML/CSS/JS

Project

Geometry Dash Clone

Created a browser-based 2D platformer inspired by Geometry Dash to demonstrate game mechanics including jump physics, collision detection, and frame-based animation.

  • JavaScript
  • HTML5 Canvas
  • Game Development
03.

Skills & Technologies

Languages

JavaScript Python Java C++ HTML/CSS SQL

Frameworks & Libraries

React Node.js Express TensorFlow PyTorch Flask

Tools & Technologies

Git Docker AWS Linux MongoDB PostgreSQL

Areas of Interest

Machine Learning AI Cybersecurity Full-Stack Development Cloud Computing Data Science
04.

Get In Touch

I'm currently looking for new opportunities, my inbox is always open. Whether you have a question or just want to say hi, I'll try my best to get back to you!

Say Hello