Software developer across data, APIs, and visual systems

Hyeonseok
Jeong

I turn real-world data and AI outputs into usable APIs, visible systems, and clear documentation.

My work includes a camera-based marine food inspection program, public-sector AI guideline research, and Java backend teaching support. I also keep technical notes on data, APIs, and digital twin systems.

Black-and-white editorial portrait of Hyeonseok Jeong
Hyeonseok JeongDeveloper · Project coordinator · Technical communicator
What I bring

I can learn an unfamiliar domain, own the flow between systems, and explain the work clearly.

02 / What I Do

From incoming data to a result people can use.

Build

Backends and data flows

Flask APIs, public and real-time data processing, model input/output handling, and screen-ready responses.

Connect

Data to visible systems

Unity/Cesium requests, road data loading and views, browser delivery, and real-time result display.

Explain

Work others can follow

Technical documents, reports, requirement notes, schedule coordination, teaching, and review logs.

03 / Selected Work

A working system, explained within a responsible boundary.

View work and experience
Public BKI reference showing an oyster RGB image and spectral color mapping used to explain camera inspection

01 · Inspection Software · Camera Data · AI Result Delivery

Marine Food Inspection Program

As Developer & Project Coordinator, I connected vision and spectral camera data to AI result processing and near-real-time browser delivery while managing reports, requirements, schedules, and field communication.

Role
Developer & Project Coordinator
Proof
Two participation periods: 2024.02-2024.04 and 2024.09-2025.03
Read case study

04 / Experience

Development, research, coordination, and teaching.

Different environments taught me to learn a domain, own a concrete part of the flow, and explain the result.

CodeV · Developer & Project Coordinator

Built camera-data preprocessing, AI-result handling, API/browser delivery, and coordinated reports, requirements, schedules, and field work in a small startup team.

Developer & Project Coordinator

Public-Sector AI Guideline Research Support

I collected, compared, and organized AI-related guidance materials so public-sector staff could find relevant references when preparing proposals and project documents.

AI framework and guideline research support

Java Backend Teaching Support

I answered Java questions, gave short explanations of core concepts, reviewed learner code, and helped learners understand backend request and database flows.

Teaching assistant · Java Q&A · Basic instruction · Code review

05 / Notes

Technical notes, work stories, and personal field notes.

I write technical decisions and separate moments from my own path, one experience at a time.

Browse all notes

06 / About

My path was not linear. It made me practical.

I moved through service work, technical training, inspection software, public-sector research, teaching support, and digital twin development. The common thread is simple: I like work where software has to meet real data, real users, and real constraints.

This site is both my portfolio and my notebook. It shows what I built, what I learned, and how my thinking changes as I keep working.

Read my story and working style

07 / Contact

Let's talk about a role, a system, or a problem worth making visible.