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 am also rebuilding an AI-agent workflow and an end-to-end ML service as separate learning labs, with clear evidence gates instead of finished-project claims.

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
Project participation span: 2024.02-2025.03
Read case study

04 / Learning Labs

What I am rebuilding until I can explain every part.

These are serious practice tracks, separate from employment and completed case studies. Each page shows the target system, my current evidence, and the gate that remains.

See full build plans

05 / 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

06 / 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

07 / 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

08 / Contact

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