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A checkout offer has a lot more going on than the little card a shopper sees.
I built Flash Upsell as a multi-store Shopify app. The admin lets a merchant define offers, a checkout extension shows the matching one, and a Shopify Function applies the discount to that upsell line.
The discount logic is its own workspace, with tests around the matching rules and margin guardrail. JavaScript is compiled to WebAssembly through Javy for the Function.
And then there is the part after checkout. An order webhook links the accepted offer back to revenue, while every database operation is scoped to the merchant's shop. I wanted the analytics to distinguish an offer being shown from revenue that has actually been recorded.
React Router, TypeScript, App Bridge and Polaris on the app side. Checkout extensions and Shopify Functions where the platform needs them.
I put the architecture here: Flash Upsell
This is the Shopify work I am looking for more of, custom apps and the backend work around them. India-based, remote, up to 30 hours/week. My portfolio
portfolio-ichigo.vercel.app
Flash Upsell — Multi-Tenant Shopify App | Vedansh Kumar
A multi-tenant Shopify app that shows targeted in-checkout upsells, applies a real WASM-backed discount, and tracks the revenue each offer actually earns.
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What should a beekeeping website explain before asking someone to choose a hive?
For Bee Girl, I designed and built a complete Shopify website around a clear journey: meet the colony, understand what’s inside a nucleus hive, compare the options, and connect with the beekeeper.
Honey yellow, hive black, warm cream, and bold typography bring the same visual language across desktop and mobile layouts.
One design decision that ties it together: the page explains the colony and its five frames before introducing the hive-quantity choices. Education gives the product selection context.
I handled the complete website project for the client through Fiverr, using Shopify. This video walks through the homepage.
Which would you explore first—the hive options, field classes, or the beekeeper’s story?
Explore the full Bee Girl case study: https://contra.com/p/WqNFR67b-bee-girl-shopify-website-design-for-beekeeping
If you’re building a Shopify website for a specialist business, I’m available for website design and development projects.
I'd open the hive options first, but only because the colony section already told me what I'm buying. Explaining the five frames before the quantity choice is a smart order. Teaching before asking someone to choose is so underrated in Shopify stores.
Neuaura is a UK women’s wellness brand making targeted supplements for life after 40: BloatBurn, CraveFree, AcheFree and Daily Menopause. The project started with a design and it was my job was to turn it into a production-ready Shopify Liquid theme the Neuaura team could run themselves.
I rebuilt the design as a library of more than 40 custom sections, each one fully editable from the theme editor. They include results carousels, a 90-day timeline with tabs, an ingredients breakdown with accordions, comparison tables, a searchable reviews hub, risk-reversal guarantee blocks, FAQ hubs and countdown offer cards.
Colours, copy, images and layout all come from the schema settings, so the marketing team can build new landing pages and campaign variations without touching code. The whole theme uses Tailwind with a custom brand palette and typography.
The result is a fast-moving, conversion-focused storefront that the Neuaura team owns end to end. They can launch Black Friday offers, test new messaging and build product landing pages the same day, rather than waiting on development time.
End-to-end retail analytics pipeline that turns raw, messy CSV exports into business decisions, built in Python and SQL and runnable with one command.
What it does:
Cleans and validates 6 relational tables, fixes 585 data-quality issues and logs every action
Loads a SQLite warehouse with keys, constraints and window-function SQL
Customer analytics: RFM segmentation, cohort retention, CAC / LTV by channel, product Pareto, market-basket analysis
Churn prediction model validated on future data (ROC-AUC 0.71, no data leakage)
6-month revenue forecast, best of 3 models by backtest (4.2% MAPE)
Auto-generated Excel report (live formulas, native charts) and an interactive Streamlit dashboard
18 automated tests
