Picture of Aayush Agnihotri

Hey, I'm Aayush.


About Me

I am currently a student at Cornell University, majoring in Computer Science with a minor in Business. I have experience in software engineering, primarily in web and full stack development.


I aim to leverage technology and data to build useful and innovative products.


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

Projects

Volume Image

Volume

TypeScript
Python
MongoDB
GraphQL
AWS
Docker

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

MusicMaster Image

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.

NJoy Image

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 Image

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.

Technical Experience

Languages

Java logo

Java

Programming Language

Python logo

Python

Programming Language

JavaScript & TypeScript logo

JavaScript & TypeScript

Programming Language

C++ logo

C++

Programming Language

Frameworks

React logo

React

Frontend UI Library

Express & Node.js logo

Express & Node.js

JavaScript Runtime

Flask logo

Flask

Backend Framework

Django logo

Django

Backend Framework

Databases

PostgreSQL logo

PostgreSQL

Relational Database

MongoDB logo

MongoDB

NoSQL Database

GraphQL logo

GraphQL

API Query Language

MySQL logo

MySQL

Relational Database

DevOps

Docker logo

Docker

Containerization Platform

Kubernetes logo

Kubernetes

Container Orchestration

AWS, Azure, GCP logo

AWS, Azure, GCP

Cloud Services

Git logo

Git

Version Control

Machine Learning

PyTorch logo

PyTorch

ML Framework

TensorFlow logo

TensorFlow

ML Framework

Scikit-Learn logo

Scikit-Learn

ML Toolkit

NumPy logo

NumPy

ML Toolkit

Work Experience

May 2023 - August 2023

  • Developed ChatGPT-like AI chatbot using React and Django with 10k+ users, achieving annual savings of $20k+ through process automation
  • Applied NLP algorithms to create text-based vector embeddings, optimizing document similarity search by 70%
  • Integrated vector databases to store documents alongside single sign-on and SQL databases through Microsoft Azure
  • September 2023 - Present

  • Developing new features and backend architecture for various mobile apps with 11k+ daily users using TypeScript, Python, and GraphQL
  • Collaborating with iOS, Android, Design, and Marketing teams in agile development to create and maintain apps
  • CS 1998 (Backend Development) TA, teaching server architecture, database design, deployment, and authentication
  • September 2022 - December 2023

  • Spearheaded design and implementation of a full-stack GUI application in React and Node.js with Express, enabling transmission of robot state
  • Coordinated with an 8-member team to build robot field visualization software in Python using Numpy
  • Simulated traversal algorithms and finite-state machine paths to optimize robot navigation strategies
  • June 2019 - May 2023

  • Designed, developed, and deployed web applications addressing community needs, achieving 1.2+ million page views and generating $1,000+ in profits
  • Integrated search engine optimization techniques, resulting in a 400% increase in organic website traffic
  • Contact Me

    Feel free to shoot me an email or schedule a coffee chat through Calendly below.

    Aayush Agnihotri Logo

    Aayush Agnihotri © 2024