Hi, my name is

Reece Bailey.

I build things for the web.

As a student at California State University Fullerton, I specialize in building exceptional, accessible, and human-centered digital experiences. With a focus on high performance full-stack applications, I delve into diverse fields like blockchain, machine learning, and database manipulation to create intelligent solutions.

01. About Me

Hello! My name is Reece, I'm an aspiring software engineer passionate about solving complex problems. My software development journey took off in 2021 when I decided to begin creating ethereum smart contracts and ethereum decentralized applications — turns out hacking together an NFT project taught me a lot about object oriented programming.

Fast Forward today and I have had the privilege to compete in multiple hackathons, honing my skills in rapid prototyping and collaboration. I thrive on the thrill of coding challenges and find joy in crafting efficient and robust software.

Beyond coding, I enjoy snowboarding, playing video games, and diving into a good book. Let's connect and create something amazing together!

Here just a few of the technologies I've been working with recently:

Node.js

Python

React

SQL

Solidity

Javascript (ES6+)

Typescript

C++

ITS ME REECE

02.

Projects

Hot Potato

Featured Project

Onchain Hot Potato

A blockchain hot potato game where users mint ERC721 tokens represented by hand images on-chain. Combining the thrill of a traditional hot potato game with blockchain's collectibility and security for a unique gaming experience.

Next.js Solidity Hardhat Mongodb Prisma

Hot Potato

Featured Project

Sortify

Sortify is a powerful sorting algorithm visualizer that allows users to observe and understand various sorting algorithms in action, providing a comprehensive tool for learning and analyzing the efficiency of different sorting techniques.

Next.js Javascript(ES6+)

ROLODEX

Featured Project

Rolodex Hash Table

Crafted a C++ program featuring a robust rolodex hash table employing efficient hashing functions. This project enables quick storage and retrieval of contacts, showcasing my proficiency in data structures and hashing algorithms.

C++ Makefile

More of my Projects

scroll right for more

Sentiment Analysis Tool

Used natural language processing (NLP) techniques to extract and identify the sentiment behind given textual data. The model is capable of analyzing the sentiment in real-time and can be adaptable to various domains, from product reviews to social media content.

Python TensorFlow PyTorch Scikit-learn NLTK SpaCy

Palindrome Detector

Developed a sleek C++ program that instantly identifies palindromes—words or phrases that read the same both ways. The efficient console application showcases my strong C++ skills and provides a handy tool for language enthusiasts.

C++ Makefile

Wordle (Backend)

Created a simple backend infrastructure in C++ for a wordle game that mimics the original New York Times Wordle game

C++ Makefile

Bookstore Program

C++ application utilizing doubly linked lists and sorting algorithms to manage a virtual bookstore. Allows users to add, search, and remove books, ensuring an organized collection by title, author, or genre.

C++ Makefile

Bobo Vision NFT Project

A decentralized application that empowers users to mint NFTs, engage in chat, compare rankings and explore their profile. The website encompasses advanced database manipulation features.

Solidity Mongodb Next.js Javascript(ES6+) Prisma

Custom Vector Program

Developed a C++ program creating a vector from scratch, demonstrating dynamic array resizing and essential vector operations. The custom vector supports insertion, deletion, and retrieval, showcasing my proficiency in C++ and data structure design

C++ Makefile

Pivot Marketing Agencies Website

Contributed to the Pivot Marketing Agency website by adding firewalls, form submission, and UI/UX additions

Wordpress SQL Python

Weather Data Analysis

This script is a Python program that fetches weather forecast data for a specific city from the OpenWeatherMap API, processes the data, and then plots the temperature trends using matplotlib and seaborn libraries.

Python Pandas Seaborn Matplotlib

Image Classification

This is a Python implementation of a neural network model using TensorFlow/Keras for classifying handwritten digits from the MNIST dataset. The MNIST dataset is a widely used benchmark dataset in the field of machine learning, and it consists of a large collection of grayscale images, each representing a handwritten digit between 0 and 9.

Python TensorFlow Keras

04. Contact Me

Get In Touch

I am actively looking for new opportunities, and my inbox is always open. Whether you have a question or just want to say hi, I'll be happy to hear from you and will try my best to get back to you!

Email Me

Reece.bailey8857@yahoo.com