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Abstract

Greetings, I'm Veer—a Software Engineering Student at the University of Waterloo ('28). I use mathematics, computer science, and software development principles to build data-driven technology. I'm experienced in artificial intelligence, machine learning + deep learning, data science, IoT, and full-stack web development. My work involves engineering neural networks, optimizing predictive algorithms, and developing utility-based web applications.

Tech Stack

  • Python (Tensorflow, OpenCV, Keras, Scikit Learn, Pandas, Numpy, Matplotlib, Seaborn, Plotly, Flask, Streamlit) [4 years]
  • Javascript & Typescript (Angular, React, NextJS, Tailwind, Material) [4 years]
  • Octave, C, C++ (Arduino) [2 years]
  • Heroku, Firebase [2 years]

Socials

Veer Sandhu's Projects

.github icon .github

Community health files for the @GitHub organization

ai-playground icon ai-playground

This repository is a place where I hold my python notebooks that were used to explore and experiment with AI.

api-excel-scripts icon api-excel-scripts

📂 Office Scripts that read Google Cloud Firestore and display JSON data in Excel.

arduino-repository icon arduino-repository

This includes all my starter Arduino project I have done to launch me down this path. This essentially is a starting point.

covid-19-geo-analysis icon covid-19-geo-analysis

This test project focuses on analyzing multiple COVID-19 datasets and bringing forth visual representations of this data

covid-info-app icon covid-info-app

An interactive app that allows users to access Covid-19 information surrounding vaccines (UofT Global Engineering Challenge)

demo-deepdream icon demo-deepdream

A Streamlit demo demonstrating the Deep Dream technique. Adapted from the TensorFlow Deep Dream tutorial.

demo-self-driving icon demo-self-driving

Streamlit app demonstrating an image browser for the Udacity self-driving-car dataset with realtime object detection using YOLO.

digit-recognition-ml-notebook icon digit-recognition-ml-notebook

This program reads 28 x 28 hand-drawn digits (0 to 9) and uses machine learning to classify them. Currently, I am attempting to dockerize my model.

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