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MovieMatch
This is a secret. For now. Maybe forever (no).
Hi, I'm Deepam,
a passionate software developer.
Iconvert design into modern UIbuild interactive UI using Reactdevelop websites using Next.jsbuild predictive ML models using Pytorchimplement RESTful APIspreprocess data with NumPy and Pandascreate data visualizations with Matplotlib & Seabornbuild real-time data pipelines
About me
Hey there! I'm Deepam, a computer science student at the University of Waterloo, and I'm passionate about software development.
I'm a curious soul with a deep love for space, books, anime, gaming, and photography. I enjoy supporting my favorite football, cricket, and F1 teams. When I'm not coding, you'll find me experimenting in the kitchen or strumming my ukulele!
I thrive on working with new technologies to build exciting projects, including full-stack development. Currently, I'm exploring cloud computing and machine learning, with some cool projects on the way!
I'm actively seeking a co-op/internship opportunity for Spring 2025. Check out my resume here and feel free to reach out to me!
(P.S I'm all ears for any book, anime, or music recommendations!)
Experience
Full Stack Developer
Xe.com
Jan 2023 - Apr 2023
- Overhauled Public Transfer pages by migrating PHP pages to Next.js, increasing performance by 37% and serving over 1.6+ billion annual visits.
- Visualized real-time currency chart by deploying custom D3.js components, increasing engagement by 35%.
- Revamped the sitemap architecture, employed XML separation yielding 15% increase in SEO optimizations.
- Created destination pages with Contentful CMS, GraphQL and AWS, leading to 45% increase in money transfers in popular corridors.
Latest projects
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Personal Website
This website you're on right now! I built it using Next.js, TailwindCSS and a Sanity backend. It was meant to be space themed, as a tribute to my love for space and astronomy.
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PriceMatch
A web app that allows users to take a picture of a product, recognizes it using Google Cloud Vision and catalogues it with a list of stores and prices, comparing the prices in each store.
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Svelte Project
An experimental portfolio website built with Svelte. Also space themed ;)
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CIFAR-10 Image Classifier
Implemented a Convolutional Neural Network to classify images from the CIFAR-10 dataset , with an accuracy of 84%. The model was trained using TensorFlow and the Flask backend was used to serve the model as an API.
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EdEasy
A web app that helps in aggregating and organizing free open-source educational materials by grade, making education accessible worldwide with just an internet connection.
Technologies
I work with the following technologies and tools:
Datascience
Pytorch
Tensorflow
Pandas
Numpy
Scikit-learn
Google Cloud Vision
Flask
D3.js
Front-end
React
Next
Svelte
Tailwind CSS
HTML
CSS
JS
MUI
Bootstrap
styled components
HeadlessUI
GraphQl
Contentful CMS
Firebase
D3.js
Languages
Python
Javascript
C
C++
Racket
Bash
Other tools
AWS
MySQL
PostgreSQL
Jira
Figma
Asana
Github
Gitlab
VsCode
Google Colab
Jupyter
Postman
MongoDB