joseph akintunde

software engineer & cs student

  • houston, tx
  • san francisco, ca
  • orangeburg, sc

I'm a builder, a software engineer, and a computer science student at Claflin University, where I'm an Honors Scholar with a 3.89 GPA. I'm also an incoming Software Engineer at Facebook. I've spent two summers as a Software Engineering Intern at Meta, most recently on Monetization & AI-Enhanced Ads and previously through Meta University, where I architected a full-stack recommendation app from scratch. I care about writing code that's easy to reason about and easy to change, and I like projects that sit at the intersection of engineering rigor and real-world impact. I'm currently building garet.ai, an AI study partner that teaches from students' own lecture notes, as my senior thesis. Take a look at my projects and experience below, or reach out directly.

Experience:

Education:

Leadership:

Interests:

Outside of engineering, I'm a big sports fan, soccer especially. I play regularly, not just watch, and I love the same things on the pitch that I love in engineering: reading the game, working with a team, and getting better through reps.

Whether you have an opportunity, a question, or just want to say hi, my inbox is open.

linkedinxgithub

jakintunde@claflin.edujoseph1of1@icloud.comresume

Work:

a selection of things i've built, broken, and fixed again.

garet.ai quiz screen: a question written from a recursion lecture, the correct answer highlighted, and the explanation below it

garet.ai

Senior thesis project: an AI study partner that works from a student's own lecture notes. It splits a lecture into topics, writes practice quizzes with an explanation for every answer, answers questions with citations to the exact passage, and tracks mastery per topic after every answer. Weak topics get focused practice and more sessions in a spaced study plan. React and TypeScript front end, a Node.js/Express API, and a Python FastAPI service on the Claude API, with Firebase Authentication.

in progress · aug. 2026 – present

FeedPlanner's Discover Recipes page, analyzing the pantry to recommend recipes

feedplanner

code ↗demo ↗

Full-stack capstone app built during Meta University: recommends personalized recipes from pantry contents, ingredient freshness, and user behavior to reduce food waste. Includes drag-and-drop meal scheduling, automatic grocery lists, timezone-aware expiration alerts, and adaptive recommendation/substitution algorithms. Reduced recommendation latency by 18% and improved recommendation accuracy by 24%.

june 2025 – august 2025

ai plan assistance chatbot

ai plan assistance chatbot

code ↗

Built with a 6-person team for the Alegeus challenge at the VISTA Hackathon: an AI chatbot answering customer questions about financial benefits, including COBRA enrollment. Integrated a conversational Chat API and designed JSON response handling so plan details returned as clear, structured answers rather than raw policy text.

july 2024