CS @ University of South Florida

Building at the intersection of AI, Mobile & Robotics

Undergraduate student and developer focused on making intelligent programs that understand and communicate with people.

View my work ↓ Resume
About

A quick intro.

Hello! I'm Mark, a Computer Science student at USF with a focus on artificial intelligence, robotics, and mobile development. I'm driven by the question of how machines can better work alongside people.

As an undergraduate researcher at USF's RARE Lab, I work on projects that bridge human-robot interaction and language models. Outside of research, I build iOS apps and explore data science to round out my full-stack skills.

I'm a member of the Tau Sigma Honor Society and on track to graduate Spring 2027. Currently seeking internships where I can contribute to teams building intelligent, user-facing products.

Education

B.S. Computer Science, USF

Research

RARE Lab · HRI & AI

Languages

Python, Swift, C/C++, Java

Tools

Xcode, VS Code, Postman, scikit-learn, SwiftUI

Skills & Tools

What I work with.

Languages, frameworks, and tools I use to build things.

Languages

Python
Swift
C / C++
Java
RISC-V Assembly
Verilog

Frameworks & Libraries

SwiftUI
UIKit
Scikit-learn
vLLM
OpenCV
SwiftData

AI & Data

Machine Learning
NLP
RAG
Computer Vision
LLM Inference

Tools & Platforms

Git / GitHub
Xcode
VS Code
Postman
Raspberry Pi
Vivado
Projects

Selected work.

Click any project to see details, features, and a link to the code.

Mobile App

AppNest

A job application tracker with on-device AI email parsing, built entirely in SwiftUI.

SwiftUI SwiftData iOS AI
View details →
Data Science / ML

Spotify Hit Song Predictor

Logistic regression model exploring whether audio features can predict hit songs.

Python Scikit-learn Data Analysis
View details →
Mobile App

Groov

iOS app for music lovers to search, track, and rate albums they've listened to.

Swift UIKit Storyboard API
View details →
RAG / AI

NoteWeb

A local-first RAG tool that semantically indexes and searches your documents.

Python LLaMA 3 RAG
View details →
Web App

OIS Competition Tracker

A game-like retail competition app: log daily performance and climb a live leaderboard.

JavaScript Firebase Vite
View details →
Systems / C

Interactive Restaurant Kiosk

A terminal-based self-ordering kiosk simulation with a linked-list order system.

C Linked Lists CLI
View details →
Data Science / ML

House Price Predictor

Linear regression models comparing single- vs. multi-feature house price prediction.

Python Scikit-learn Pandas
View details →
Experience

Where I've been.

Research, coursework, and hands-on projects that have shaped my path.

Undergraduate Researcher

RARE Lab · University of South Florida

Working on the CRIE project: building LLM inference pipelines for real-time robot intent explanation. Contributing to robotics and AI research in human-robot interaction contexts, including the Blossom social robot platform.

iOS 101

CodePath

Enrolled in an iOS development course that taught me UIKit, Storyboard, APIs, and how to build an iOS app.

Transfer to USF

University of South Florida · Tampa, FL

Transferred into the CS program. Inducted into Tau Sigma Honor Society.

Contact

Let's connect.

I'm currently looking for Summer 2026 internships in AI, mobile development, and intelligent systems. If you're building something cool, I'd love to hear about it.

Email marc.anjoul@gmail.com GitHub github.com/marcanjoul LinkedIn in/markanjoul Résumé PDF, one page
Email LinkedIn Résumé