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trifledmatter/README.md

I'm an 17-year-old Computer Science & Entrepreneurship student with a strong passion for Machine Learning (ML), Full-Stack Web Development, and Software Development. I'm constantly seeking new ways to leverage both artificial intelligence and my skill in programming to solve real-world problems.

Languages and Tools

Java

TypeScript

Angular

Git

Linux

HTML

CSS

JavaScript

React

NodeJS

Python

C++

GitHub

Bash



Currently learning or have learned:

  • Deep Learning Architectures:

    • Convolutional Neural Networks (CNNs)
    • Recurrent Neural Networks (RNNs)
    • Generative Adversarial Networks (GANs)

  • Natural Language Processing (NLP)

    • Word Embeddings
    • Attention Machanisms
    • Transformers

  • Object Detection and Recognition

  • Image Segmentation

Project Honorable Mentions

(Closed Source) - MxA LLaM 196B

MxA LLaM - Mixtral of Agents & Large Language-Action Model is a project I've finished I've taken existing open-source LLMs and putting them together into one big, smart model that boasts 196 billion parameters, and a reliable output with less hallucination. The result of which is a model that not only has a better understanding of what is being asked of it, contextually, but will also call functions it's given in response, if needed. Which is why i've decided to call it an action model.

(Open Source) - Mycellium

Mycellium was meant to be a fun project that I forced myself to create on the weekend. It uses OpenAI's whisper, and a few other libraries to listen for a user's request, and respond with a corresponding order. This was essentially the Restaurant Drive Thru AI before the restaurant drive thru ai, I went around town and talked to fast-food store owners about implementing this sort of thing in their drive-thru. I was denied every time.

(Open Source) - Research Matrices in Neural Networks

This was a self-guided research "paper" on using concepts learned in pre-calculus to implement a neural network in Rust. Report Link - References Link

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    This project is a result of an in-depth exploration into the integration of pre-calculus concepts, with a strong emphasis on matrices, within the domain of neural networks

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    Advanced open-source voice-to-text technology for optimizing drive-through service efficiency.

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