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SawyerAlston/README.md

Sawyer Alston

About Me:

🎓 Studying Computer Science at the University of Texas at San Antonio

🧠 Interested in software engineering, ML/DL, and automation

🧑‍💻 Ex-Intern @ U.S. Department of State (Diplomatic Technology)

🤝 Connect with me:   LinkedIn email

💻 Tech Stack:

Python Java HTML CSS JavaScript Matplotlib NumPy Pandas PyTorch Expo FastAPI NPM React Native SQLite Swagger scikit-learn Git GitHub

📊 GitHub Stats:



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  1. ALERGZ ALERGZ Public

    *RowdyHacks XI Winner* ALERG'Z is the smart allergy assistant that scans food barcodes to detect allergens and suggest safe alternatives in seconds.

    TypeScript 2

  2. ML-vs-DL-Sentiment-Classification ML-vs-DL-Sentiment-Classification Public

    An in-depth comparison and building walkthrough of two sentiment classification models, ML vs. DL —a Logistic Regression and an LSTM model— both trained on the Sentiment140 dataset. The Jupyter not…

    Jupyter Notebook

  3. ShelfSense ShelfSense Public

    Reduce food waste and save money while discovering new recipes.

    TypeScript

  4. MNIST-NN-Pure-Math MNIST-NN-Pure-Math Public

    A "from-scratch" 2-layer neural network for MNIST classification built in pure NumPy, featuring mini-batch gradient descent, momentum, L2 regularization, and evaluation tools — no ML libraries used.

    Python 3