01
Speaks both public-service and technology languages
Yongchan Choi calls himself a planner-developer: someone who defines a problem and also turns it into a working product.
YONGCHAN CHOI · YEONCORE.AI FOUNDER & CEO
Fluent in both the language of public service and the language of technology.
His career spans engineering, finance, and public-sector business at Samsung SDS and Oracle Korea. Today, he directly plans and develops AI products for public services and lifelong learning.
“Connect a trusted AI ecosystem—not a list of features.”
FOUNDER STORY
Turning field experience into products he can design and build directly.
The important question is not the length of a résumé, but how the experience shapes YEONCORE’s product and operating principles.
02
Learned technology and numbers together
He began in systems engineering and operations at Samsung SDS, then worked across finance and process innovation.
03
Learned public-sector decisions in the field
At Oracle Korea, he worked with public-sector organizations and learned how budgets, procurement, infrastructure, and operations shape real decisions.
04
Now solves those problems by building directly
He founded YeonCore.ai to move from explaining other companies’ products to designing, implementing, and validating products for the problems he had observed firsthand.
SELECTED BACKGROUND
Technology, business, and public-sector experience in one operating view.
Only background already approved in the Korean source is included here.
- Samsung SDS — systems engineering, finance, and process innovation
- Oracle Korea — public-sector national accounts and partner business
- Master of Intellectual Property, KAIST
- Bachelor of Business Administration, Korea University
- Co-planner and co-author of SAT WORDS 2400
- AI policy advisory work for Chungcheongnam-do and public-sector information strategy planning
EXPERTISE
Designing for the conditions in which products actually operate.
The work connects organizational knowledge, validation, security, procurement, and the user’s language experience—not the AI model alone.
Public procurement and B2G commercializationAI agent and multi-agent systemsVerification harness engineeringHybrid AI for network-segmented environmentsAI-based language and learning design
Official service and privacy contacts and the legal operator identity are published. Response operations and each data-handling standard remain under verification.
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