Hwajong Jeong
From mobile to ML,
I make it work.
Software Engineer - Mobile/Web & ML/AI
Mobile apps at scale during the day, ML research at Georgia Tech at night.
About
Engineering team lead at The Home Depot, where I drive the development of consumer-facing mobile applications used by millions. I lead multiple cross-functional teams shipping native Android and iOS features at scale - from architecture decisions down to production rollouts. Outside of work, I build across the full stack and dig into ML/AI research through Georgia Tech's OMSCS program.
Georgia Institute of Technology - M.S. Computer Science, AI Specialization (Expected May 2026)
Projects
The Home Depot Mobile App
Lead engineer for two cross-functional teams - one with 16 members, another with 11 - within the org that owns Home Depot's mobile app on the App Store and Google Play. The app serves 1.6 million daily active users across iOS and Android.
Home Depot Local Mobile AI
An on-device iOS AI feature built as a side project for The Home Depot, applying research from Georgia Tech's OMSCS program. A customer describes a home project in plain language and gets back a structured assessment: category, difficulty, DIY feasibility, and routing to materials, tool rental, or Home Services. Runs a fine-tuned Qwen3-4B entirely on-device with zero cloud dependency. Demonstrated live on a physical iPhone in airplane mode.
Home Depot Watch App
An in-house Apple Watch companion app that brings core Home Depot functionality to the wrist - quick order status checks, store aisle lookup, shopping list access, and barcode-ready product details without pulling out a phone. Built with SwiftUI and WatchKit, syncing state with the main iOS app via Watch Connectivity. Currently in closed beta with internal teams and select store associates.
Home Depot Instore Navigation
An AR wayfinding prototype built during Home Depot's Innovation Week that overlays turn-by-turn navigation directly onto the store floor through the camera feed. Uses ARKit and PointrKit for indoor positioning and spatial tracking, rendering real-time directional arrows and distance markers anchored to physical aisles. Designed to embed directly into the existing Store Mode experience so customers can tap a product in their list and get guided to the exact bay - no map reading required.
GlamBot - GATech Research AI
Built a local AI research assistant for Georgia Tech's Educational Data Mining lab that helps researchers and students navigate a 90-million-event student behavior dataset. Researchers type plain-English questions and get back working code, schema guidance, and source citations. Everything runs on their own machine, so sensitive academic data never leaves the building and there's no subscription, no API costs, and no waiting on an internet connection. Part of a larger research effort, backed by upcoming research papers.
Consumer App
Customers find nearby stores, browse menus with live pricing, build carts with upcharges and modifiers, and pay through Stripe - all without creating an account. Logged-in users track orders in real-time, earn and redeem reward points, save favorites, leave reviews, and manage their profile across multiple stores. Ships in 4 languages with full dark mode and adaptive theming per store brand. Currently in late-stage development, not yet in production.
POS App - Cafe & Worker Flow
Team members clock in, pick their register, and start taking orders. Numpad entry, barcode scanning, modifier upcharges, batch open/close, and Stripe Terminal card readers, all running on pads and phones cross-platform. Offline-first with local SQLite so the register never goes down if the network drops. Managers handle menu edits, pricing, team permissions, and shift reports. Transactions, records, and other functionalities live.
POS App - Restaurant Flow
Tables, courses, and split checks. Servers assign parties to floor-plan tables, fire courses to the kitchen display, split items or amounts across multiple payments, and close out with card or cash. KDS screens show ticket routing with hold/bump/recall. The whole thing syncs in real-time across every device on the floor. Owners build their own floor plans with easy drag-and-drop, and the POS supports 16 business types out of the box.
Get In Touch
Always open to interesting conversations and new opportunities. Feel free to reach out.