Aayush Agnihotri

About Projects Experience Contact Resume

Hey, I'm Aayush.

About Me

I am currently a student at Cornell University, pursuing a Master of Engineering degree in Computer Science. I have experience in software engineering, primarily in full stack development and machine learning.

I aim to leverage technology and data to build innovative products that help people.

Aside from school and programming, I enjoy working out at the gym 🏋️, listening to music 🎵, or playing soccer ⚽.

Projects

AI Dev

TypeScript

React

Next.js

MongoDB

Firebase

Docker

GCP

An internal AI tool and platform enabling AI features and interactions with a finetuned organizational model coupled with RAG.

Eatery

Python

Django

PostgreSQL

AWS

Docker

Eatery is a Cornell Dining app with 40,000+ downloads, allowing 10,000+ students and facility to track menu items and schedules for dining halls and resturants.

MusicMaster

React

Flask

PostgreSQL

MusicMaster is a music recommendation engine built on the Spotify API and song dataset which utilizes machine learning and content-based filtering to recommend songs. Users can login with their Spotify account to add recommended songs to their playlists.

Volume

TypeScript

Python

MongoDB

GraphQL

AWS

Docker

Volume is a cross-platform open-source Cornell student publication app with 1,000+ users, facilitating the exploration, sharing, and saving of content and the amplifcation of student voices.

NJoy

React

Firebase

NJoy is the go-to trip-advising app created for the Garden State, providing information about New Jersey's favorite places and activities. NJoy allows users to plan their next trip, read and add reviews about locations, get directions, and much more.

TownMate

Java

Airtable

TownMate is a cross-platform app that gives newcomers to a community information about restaurants, shopping malls, public transportation, and more. Awarded 3rd place for TSA National Software Development Competition.