SELECTED WORK & ONGOING EXPERIMENTS

MAKESOMETHINGMATTER.

I’m Ritvik. I build software at Shopify.
Here are a few things I’ve made.

SOFTWARE DEVELOPERSHOPIFY DEV DEGREE · TORONTO

HACK THE NORTH · 2026

Dealify

Name your price.
The shop can counter.

Ask for a better deal. The AI handles the conversation; a separate pricing engine decides which offers the shop can accept.

Try Dealify Project notes

HACK THE NORTH 2026
Shopify: Hack Shopping with AI winner

How an offer gets accepted

The language model handles the conversation. A shared TypeScript engine decides which offers are valid. A merchant Console makes negotiations visible, and a simulation tests policies against 300 seeded synthetic shoppers. Built with Bryan Maristanez and Ricardo Gao.

React / TypeScript / Shopify

Explore the source

MARKET DATA · MACHINE LEARNING

Synapse

Predictions are
a starting point.

Stock data, experimental predictions, and a learning hub in one place. Built to explore the numbers and ask better questions.

Explore Synapse Project notes

What’s behind the predictions

Synapse Investments brings a prediction interface, trading tools, and a learning hub into one application. A React frontend connects to Python-based machine learning and Supabase. Model outputs are experimental, not guaranteed returns.

React / Python / Supabase

STUDY PLANNING · FOCUS TOOLS

StudyFlow

One session
at a time.

A Pomodoro timer, goals, and a calendar that live together. Plan the work, start a session, then see how it went.

Open StudyFlow Project notes

Inside the study workspace

Pomodoro sessions, goals, calendars, and learning analytics share one workspace. Built with React and TypeScript, with Node.js, Express, and Recharts in the stack.

React / TypeScript / Recharts