Hello!
I'm Avyay Agarwal, a software engineer in the process of building, breaking, learning and improving
Come say hello hello@avyay.xyz or find me on other platforms and peruse my resume!
I recently graduated from the University of Waterloo studying Computer Science and Economics and I'm currently working on building backend systems as a Software Engineer on the Apps Integrations team at Rippling!
Outside of work, I'm probably coffee cupping at new cafes, messing with music production and DJing, or pursuing my endeavour of learning Japanese!
President's Scholarship of Distinction
- Python
- Java
- Scala
- C/C++
- Swift
- Ruby
- TypeScript
- Scheme/Racket
- JavaScript
- HTML/CSS
- SQL
- Spark
- Kafka
- Hadoop
- Solr
- Airflow
- Tensorflow
- PyTorch
- SparkML
- Scikit-learn
- MongoDB
- MySQL
- PostgreSQL
- SQLAlchemy
- React.js
- Node.js
- Django
- ARKit
- CoreML
- iOS
- Android
- Elasticsearch
- Redis
- Docker
- Kubernetes
- AWS
- GCP/GKE
- Nomad
- Bamboo
- Consul
- Git
View My Resume
An Android application that leverages Toronto Police Open Data to help users navigate using the safest route and automatically send an SOS to authorities if the user falls victim to crime.
A Ruby on Rails application that uses the Spotify API to provide a progression analysis of your Spotify library based on the danceability and energy of songs. This application is intended to provide you an insight into the your Spotify library and allow you to customize it according to how you want it to progress (say if you want to play it for a house party).
Developed an Android application which allows users and their friends to answer questions about each other in a question-feed style and intuitively see each other’s responses based on a barter-style algorithm.
A webcam-based motion detection application built in Python using OpenCV. Features include automatic generation of a time series graph to visualize motion detection based on timestamp and duration.
A Node.js application for messaging in a chatroom based format that leverages the power of Socket.IO to provide a snappy, near instant conversational experience on both desktop and mobile devices. Features include being able to share your location at the tap of a button.
A Node.js application that gives the current weather forecast of an inputted location. It uses the Google Maps and Dark Sky APIs to get location and weather information respectively.
Key features include temperature automatically being shown in Celsius or Fahrenheit depending on the units followed at that location. The application will also show national weather warnings if any have been issued.
Created an e-commerce store leveraging Shopify’s platform to create a marketplace for boilerplate hackathon projects intended to help people quickly start working on their projects by buying the initial codebase.
🏆 Winner - Shopify Build A Business Challenge 🏆
Contributed to the front-end development of a Chrome extension meant to warn users about their counterproductive internet internet activity (compulsive online shopping, etc).