Bryce Richards

ABOUT ME

EXPERIENCE

PROJECTS

CONTACT ME

RESUME

BRYCE
RICHARDS

I'm a graduate from the University of Tennessee with a major in Computer Science and a minor in Data Science, with a passion for bringing interesting and unique ideas to life.
My experience spans the entire development lifecycle, from designing intuitive user interfaces, to architecting robust backend systems and extracting valuable insights from complex datasets. I thrive in collaborative environments focused on creating high-quality, user-centric products.
I'm currently relocating to New York and actively looking for developer roles in the area.

EXPERIENCE

Swipesum

May 2024 - August 2024

Software Engineering Intern

Led the development of a web application that automates responses to customer support emails by leveraging Google’s AI to generate accurate replies using tens of thousands of past internal support emails as a reference.
Implemented a PostgreSQL vector database with custom filtering logic and regularly refined it based on team feedback.
Engineered backend data workflows in Python, applying natural language processing techniques to preprocess and vectorize past email data for intelligent retrieval and contextual AI responses.
Collaborated directly with the support team in a fast-paced startup environment to refine product features and UX.

Disco!

February 2024 - May 2024

Web Development Intern

Built and maintained a full-stack event management dashboard using Next.js and Directus CRM handling both front and backend logic.
Designed responsive, dynamic React components while integrating backend data flows to enable real-time updates and user interactions.
Developed backend services to manage image uploads, asset storage, and retrieval using Amazon S3 and Directus APIs.
Collaborated in a multi-developer CI/CD workflow with code reviews, branch deployments, and iterative UI/UX enhancements based on user feedback.

Adventure Day Camp

May 2023 - August 2023

Camp Counselor

Responsible for leading 16-18 sixth graders, balancing firm guidance with patience and understanding to foster an engaging and cohesive group dynamic.
Actively engaged in supervising diverse activities with other counselors, showcasing strong team coordination skills and the ability to foster a collaborative and safe environment.

PROJECTS

Fantanofy

Music Taste Analyzer Using Spotify & Critic Reviews

Anthony Fantano's

Connects to the Spotify API to retrieve user data, including top tracks and albums

Scraped and structured thousands of reviews into a MySQL database for real time matching, and designed an engaging visualization page

Deployed on a self-hosted Linux server using Docker, Nginx, HTTPS, and SEO optimization

Used globally by hundreds of users

HTML

CSS

JavaScript

Git

Node.js

MySQL

Express.js

Python

Pandas

Linux

Goal Oriented Self Prompting AI Platform

Enabled the AI to further break down tasks into smaller, manageable components.

Collaborated in a six person team, with agile development practices Integrated backend features including self-prompting capabilities in the AI, allowing for dynamic and autonomous task completion.

Helped incorporate functionalities for reading files, web searching, and other features, significantly broadening the AI's scope and usability in the real-world.

Built with Next.js 14, Firebase, and NextAuth for secure, full-stack functionality

Next.js

React

TypeScript

Git

Figma

Firebase

Tailwind

RecurseAi

CelebrityTTS

Custom Text to Speech Voice Generator for Streamers

Integrates neural network models I trained utilizing the PyTorch TacoTron 2/Wavenet architecture for voice synthesis from text.

Includes an interactive GUI, which allows users to input their own text and have it be read out by a chosen celebrity.

Allows the user to connect to the Streamlab's API to have the live streamers donations be read out by a chosen celebrity.

Gathered large amounts of clear audio from online sources and split them into hundreds of distinct clips.

Utilizes multiprocessing and multithreading to improve performance and responsiveness.

Python

Pytorch

Git

Linux

Excel

Smooth Digital Tours Using Advanced Gaussian Splatting

Selected as a top-5 finalist out of 50 teams in a university-wide pitch competition at the University of Tennessee, effectively communicating the technical and commercial potential of scalable, browser-based 3D visualization for real estate, tourism, and education.

Engineered and implemented a Level-of-Detail (LOD) system using advanced data structures, enabling real-time rendering of large 3D scenes based on camera position.

Designed and optimized server-side CUDA-based processing parallelizing rendering tasks, and integrating it with Go for robust concurrency and streamlined performance across devices.

Next.js