Suneru Perera

Computer Science Student @ University of Waterloo

Waterloo, Ontario

Nice to meet you! Currently, I'm working as a Software Developer @ MRS, while also building Vendle alongside a team of talented engineers. In my free time, I lift heavy (super heavy) weights, play basketball (basically D1), and attend hackathons.

Work Experience

MRS Company

Software Engineer

Feb 2025 - Present

Toronto, Ontario

Building innovative software solutions for financial enterprises

Vendle

Software Engineer

May 2025 - Present

Tampa, Florida

Full-stack application for disaster recovery and recovery management

Aiuto Solutions

Software Engineer

June 2022 - 2023

Waterloo, Ontario

Crowdfunding platform for tri-state area retirement homes, raised $5000

Education

University of Waterloo

Bachelor of Computer Science

2024 - 2029

Waterloo, ON

Lazaridis School of Business and Economics

Bachelor of Business Administration (Double Degree)

2024 - 2029

Waterloo, ON

Projects

June, 2025

Versus

GitHub Live Demo

A real-time competitive benchmark for language models. LLM models battle against each other in an interactive benchmark game platform.

May, 2025

ThreadIT

GitHub Live Demo

A powerful AI-enhanced clothing design application that lets you sketch, enhance, and transform garment designs using cutting-edge AI tools, then launch them directly to Shopify as waitlist products.

April, 2025

DotPush

GitHub Live Demo

Browser extension that automatically syncs solved LeetCode problems to GitHub with clean folder organization.

May, 2025

Benchable

GitHubLive Demo

React Native app for discovering, rating, and sharing favorite park benches with interactive maps.

March, 2025

Toronto Traffic Dashboard

GitHub Live Demo

Developed an interactive, web-based dashboard for visualizing real-time traffic patterns across Toronto using real-world datasets. The project integrates data preprocessing pipelines with Pandas and NumPy, applies machine learning models via Scikit-learn for traffic trend prediction, and renders insights through a responsive front-end powered by React and dynamic data visualizations.

Feb, 2025

TarriFic

GitHubLive Demo

Currently developing a full-stack web application that integrates real-time tariff data through API endpoints and applies AI-driven analysis to dynamically assess portfolio risk. The platform leverages stateful components, async data pipelines, and ML models to predict market impact, enabling users to run inference-based simulations and make data-informed, tariff-sensitive investment decisions.