Aayush Agnihotri Logo

Aayush Agnihotri

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 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

Eatery Image

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 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.

Volume Image

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 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

Python logo

Python

Programming Language

JavaScript & TypeScript logo

JavaScript & TypeScript

Programming Language

Java logo

Java

Programming Language

C & C++ logo

C & C++

Programming Language

Frameworks

React logo

React

Frontend UI Library

Express & Node.js logo

Express & Node.js

JavaScript Runtime

Django logo

Django

Backend Framework

Spring Boot logo

Spring Boot

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

Jenkins logo

Jenkins

CI/CD Platform

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 & Leadership Experience

September 2023 - Present

  • Lead all backend development for a team of 50+ students building apps with 12,000+ active users
  • Collaborate with iOS, Android, Design, and Marketing teams in Agile development to create and maintain apps
  • CS 1998 Course Instructor, teaching client-server architecture, database design, and DevOps to 100+ students
  • Previous Role: Backend Developer

    • June 2024 - August 2024

  • Implemented a CNN in Python with TensorFlow to classify ephemeral text within media with 94% accuracy
  • Utilized Spark and Jupyter Notebooks to analyze data and train machine learning models, reducing noise by 80%
  • Deployed model with AWS Lambda and Jenkins to the AIML pipeline, processing 9,000+ hours of content yearly

    • May 2023 - August 2023

  • Developed a ChatGPT-like AI chatbot using React, LangChain, and Django with 10,000+ users, achieving annual savings of $20,000+ through process automation
  • Applied NLP algorithms to create text-based vector embeddings, optimizing document similarity search by 70%
  • Integrated Milvus vector database to store/retrieve embeddings alongside single sign-on through Microsoft Azure

    • 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

    • Contact Me

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

      aa2328@cornell.edu  
      linkedin.com/in/aayush-agnihotri  
      github.com/aayush-agnihotri  
    Aayush Agnihotri Logo

    Aayush Agnihotri © 2024