Makiko Ohashi

Textile trading professional turned self-taught product engineer.

Building useful software for real operational problems.

Inbound Tracking

Origin:Small import merchants struggle to track in-transit inventory; existing ERP tools are too heavy for their scale.

Purpose:Built a Shopify app to automatically track shipments using trade documents and sync inventory on warehouse arrival.

Shopify app for merchants importing goods.

Tracks in-transit inventory using trade documents,

syncs to Shopify on warehouse arrival.

Live on App Store. Featured on TSUN.ec.

Remix Node.js Supabase TypeScript

WAKARUMADE - iOS Math Learning App

A comprehension-first math learning app now available on iOS.

Built to help children understand step-by-step reasoning, not just memorize answers.

The native iOS version uses on-device OCR and a teacher-style chat flow to turn printed math problems into guided learning conversations.

Started as a solo project for Hack This Fall and evolved through rapid iteration with real user feedback. The app adjusts difficulty in real time based on student performance.

Available on the App Store and on the landing page. Built for Hack This Fall.

🏆 Selected for Hacker House and Demo Day as one of the top finalist projects from the month-long hackathon.

SwiftUI Supabase Gemini

Forcast to Inventory

Shopify App

Forecast-to-Inventory

In Development — Building on Inbound Tracking

learnings. Predicts import timelines using AI

(clearance dates, warehouse arrival). Helps

merchants know when inventory becomes available

for sale.

Expected: Q1 2026

Next.js Supabase TypeScript AI prediction model

Other Projects

Shopify Partner Projects

Shopify Partner Projects (Partner Account)

Developed custom Shopify stores: full builds,

theme customization, feature improvements for

small merchants. Direct observation of operational

pain points shaped the Inbound Tracking concept.

Shopify Liquid
DAISUKI DISCOUNT HONOLULU

Skills

React Remix Next.js Node.js TypeScript Supabase

About

Balancing family and continuous learning while building applications that solve real problems.