Mobile App
AppNest
A job application tracker with on-device AI email parsing, built entirely in SwiftUI.
View on GitHub →Mark Anjoul
Computer Science @ 
Building at the intersection of AI, Mobile & Robotics
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.
Languages, frameworks, and tools I reach for to build.
A job application tracker with on-device AI email parsing, built entirely in SwiftUI.
View on GitHub →Logistic regression model exploring whether audio features can predict hit songs.
View on GitHub →iOS app for music lovers to search, track, and rate albums they've listened to.
View on GitHub →A local-first RAG tool that semantically indexes and searches your documents.
View on GitHub →A game-like retail competition app: log daily performance and climb a live leaderboard.
View Live Site → View on GitHub →A terminal-based self-ordering kiosk simulation with a linked-list order system.
View on GitHub →Linear regression models comparing single- vs. multi-feature house price prediction.
View on GitHub →Started learning programming in Python
Building LLM inference pipelines for real-time robot intent explanation, including the Blossom social robot platform.
Enrolled in an iOS development course that taught me UIKit, Storyboard, APIs, and how to build an iOS app.
Transferred into the CS program. Inducted into Tau Sigma Honor Society.