SPARK // CONTROL & SOFTWARE
--:--:-- KST Language
Seoul, KR · GMT+9 · Remote-ready

Sangwoo Park

Control systems engineer turned Flutter & Python developer. I build the software that sits between hardware and people — robot schedulers, operator panels, mobile apps, and the APIs that connect them.

01 · ABOUT

What I do

For the past several years I've written the software that runs behind real machines — TCP/IP command layers, task schedulers, and the GUI panels field engineers use to fix a robot without reading a manual. That work shipped to commercial kitchens and warehouse floors, not just a demo.

I also design and build cross-platform apps solo, end to end — Flutter, Firebase, REST APIs, in-app payments — having taken one from spec to real paying users.

I'm not a developer who only writes code in isolation. I've spent years being the technical point of contact for overseas manufacturers and clients, so I communicate clearly, document what I build, and don't disappear mid-project.

02 · CAPABILITIES

Stack & strengths

Flutter / DartCross-platform mobile
0%
PythonAutomation, backend, scripting
0%
Firebase / GCPCloud & realtime data
0%
TCP/IP & SerialHardware ↔ software bridge
0%
REST APIs / MySQLData & integration
0%
EnglishBilingual technical communication
0%
03 · SELECTED WORK

Project modules

MODULE / ROBOTICS

Automated Fry-Station Control Software

Shipped to major chain kitchens

Led upper-level control software for a 6-axis robot arm cooking system: TCP/IP command layer, custom task scheduler, and a new operator GUI. Also handled English-language technical liaison with the robot manufacturer.

PythonPyQtTCP/IPROS-adjacent SDK
MODULE / MOBILE APP

Freelance Marketplace App — solo build

0 → launched product

Designed and built a cross-platform app alone, from business plan to shipped product: UI/UX, backend, cloud infrastructure, chat, notifications, and a demo payment integration.

FlutterFirebaseRiverpodGCP
MODULE / LOGISTICS ROBOTICS

Low-profile AMR Fleet Rollout

Warehouse-scale deployment

Site-mapped and configured autonomous mobile robots (SLAM) for factory and warehouse deployment, set up networking, and trained on-site engineers on scheduler operation and troubleshooting.

SLAMNetworkingField training
MODULE / PERFORMANCE

Blockchain Throughput Optimization

5 tps → 5,000 tps

Benchmarked a Hyperledger Fabric backend with Caliper, identified bottlenecks against target throughput, and iterated with the platform community until read/write performance improved roughly 1,000x in local testing.

Hyperledger FabricJavaDockerAWS
04 · HOW I WORK

Availability

Time zone
GMT+9Seoul, South Korea
Response time
< 24hUsually same-day
Working hours
FlexibleOverlap-friendly with US/EU evenings
Communication
EN / KRWritten updates by default