Open to work

Hi, I'm Ojas👋

Student and software engineer in Toronto 📍
I love working on scaleable and impactful projects. Hit me up to collaborate!

ojas singh

About

I am a 4th-year undergraduate at the University of Toronto, completing the Computer Science, Mathematics, and Statistics program. I taught myself full-stack development in 2021, and found a deep passion for building cool apps. I specialize in web-dev with Next.js, and also have a keen interest in deep learning and AI. Currently messing around with generative AI projects; learning more transformers and attention. I was also in buildspace's nights & weekends season 5.

Education

U

University of Toronto

2020 - 2024
Honours BSc in Computer Science, Mathematics, and Statistics
b

buildspace

2024 - 2024
nights & weekends season 5
I

International Baccalaureate

2018 - 2020
IB Diploma

Skills

React
TypeScript
Next.js
Tailwind CSS
Node.js
Express
MongoDB
PostgreSQL
GraphQL
REST
Docker
Kubernetes

Work Experience

F

Flow Robotics

May 2024 - Present
Front-End Developer
Developed a landing page for a medical device with TypeScript utilizing Next.js, shadcn/ui, and TailwindCSS. Integrated Vercel Analytics, and utilized React Testing Library to achieve 100% test coverage.
S

Stealth Startup

September 2023 - December 2023
Software Developer Intern
Engineered a Retrieval Augmented Generation (RAG) component pipeline with Python and TypeScript, utilizing Langchain and Next.js to process user documents for 600+ monthly active users. Implemented a vector-search query using Supabase and SQL, and used React to draft a clean User Interface.
U

University of Toronto Scarborough

June 2022 - May 2023
Web Developer
Developed a web application using JavaScript and Next.js for 2000+ University of Toronto students. Integrated Stripe payment checkout, and a custom CMS with Firebase for fast event management. Achieved <300 ms first paint load time, and optimized asset storage to reduce bandwidth use by 300%. Led cross-functional collaboration with 2 other team departments, ensuring effective communication.
O

Omdena

August 2020 - December 2020
Machine Learning Engineer Intern
Processed 10,000+ data points with Python via scikit-learn and pandas for optimal visualization and cleaning. Employed PCA for a 70% reduction in dimensions, keeping 95% of variance for improved model efficiency. Led two sprints with 5 engineers, serving as scrum master and utilizing Jira for agile project management.
Projects

Some of my work

I am constantly building and trying to learn new concepts. Here are a few projects that I had fun building.

SWEResume.com

An AI SaaS that helps people create resumes specifically for engineering or technical positions.

Typescript
Next.js
Python
Langchain
Pinecone
Clerk
AWS
Website

Mruda.dev (coming soon)

Boilerplate code to help founders get started and scale quick.

Typescript
Next.js
shad/cn
TailwindCSS

AI Finance Dashboard

Engineered an AI dashboard aggregating real-time data of 5000+ stock indices.

Typescript
React
Express.js
Prisma
MySQL
Docker
Source

Broadcast - A Social Media App

Architected a real-time chatting application in Go and Typescript, utilizing Next.js, websockets, and Gin.

Go
Gin
Typescript
React
MongoDB
Websockets
Source

Sentiment Analysis Blog

An app for sentiment analysis of blog posts. Used Tensorflow.js's toxicity model to get tone probabilities.

Typescript
Tensorflow
React
GraphQL
AWS
Source

SpaceNews

A simple news aggregator for space enthusiasts. My first project using Next.js.

Typescript
Next.js
TailwindCSS
Source