Hyeonseo Jang ­

Hyeonseo Jang ­

Upstage AI Ambassador @ Upstage

About

Problem-first founder, AI researcher, and engineer — designing solutions, building with LLMs, and shipping real products.Founder-minded AI Engineer with experience across the full stack — from LLM pipeline design and RAG architecture to backend implementation and deployment. Currently preparing an AI startup and conducting NLP/LLM research at a university Data Intelligence Lab.Past work includes a multimodal IR coaching platform (1st place, Upstage × Sogang AI Hackathon), document intelligence pipelines improving classification accuracy from 11% to 56%, and co-organizing a 79-person AI hackathon across 4 universities. Also reached the Top 5 finals at GSSC 2026 (Global Student Startup Competition) out of 16 teams.Skills: LLM Application · RAG · OCR · Agent Workflow · NestJS · FastAPI · n8n · AWS · Upstage Solar · GeminiOpen to backend/AI engineering roles and research collaborations.문제를 정의하고, AI로 구현하고, 서비스로 완성하는 창업가이자 연구자·엔지니어입니다.LLM 파이프라인 설계부터 백엔드 구현·배포까지 전 과정을 다룹니다. 현재 AI 스타트업을 준비하며 대학 Data Intelligence Lab에서 NLP/LLM 연구를 병행하고 있습니다. Upstage×서강대 AI 해커톤 대상 수상, IR 분류 정확도 11%→56% 개선, 신촌권 4개 대학 79명 규모 해커톤 공동 주최, GSSC 2026 글로벌 학생 스타트업 대회 16팀 중 파이널리스트 선정 등의 경험을 쌓았습니다.멀티모달 IR 분석, 문서 인텔리전스 파이프라인, 에이전트 기반 워크플로우 자동화 등 다양한 AI 서비스를 기획·구현해왔으며, 아이디어 단계부터 실제 서비스까지 직접 만들어온 빌더입니다.백엔드/AI 엔지니어링 포지션 및 리서치 협업에 열려 있습니다.

Country

South Korea

City

Seoul

Industry

Computer Software

Skill

IT 운영, Python, FastAPI, Generative AI, LLM, Google Cloud Platform, Typescript, Node.js, React.js

Experience

Upstage

Upstage AI Ambassador

Upstage

LinkedIn
2026-3 - Present · 7 mos

Developed real AI products and contributed to the community as an Upstage AI Ambassador. 1. Hackathon Planning & Operations - Co-organized a Low-code AI Startup Hackathon across 4 universities in Sinchon (Ewha, Yonsei, Sogang, Hongik) — 79 participants, 23 teams - Built an n8n-based auto-grading agent and developed an n8n × Lovable integration guide 2. Product Development - Gongsiri: AI corporate disclosure monitoring service using Upstage Solar Pro, Document Parse, and OpenDART - A.DIFF: AI × startup newsletter automation pipeline built with n8n + Upstage Solar (currently in production) - upstage-research-cli: CLI tool for academic PDF analysis + automated evaluation code generation (npm published · 26+ natural language triggers) AI 툴을 활용한 실제 프로덕트 개발과 커뮤니티 기여를 병행했습니다. 1. 해커톤 기획·운영 - 신촌권 4개 대학(이화여대·연세대·서강대·홍익대) 학생 79명, 23팀 규모 Low-code AI Startup Hackathon 공동 기획·운영 - n8n × Lovable 연동 가이드 제작, n8n 기반 자동 채점 에이전트 개발 2. 프로덕트 개발 - 공시리: Upstage Solar Pro + Document Parse + OpenDART 기반 AI 공시 모니터링 서비스 - A.DIFF: n8n + Upstage Solar 기반 AI×스타트업 뉴스레터 자동화 파이프라인 (실제 발송 운영 중) - upstage-research-cli: 학술 논문 PDF 방법론 분석 + 평가 코드 자동 생성 CLI (npm 배포 · 26개+ 자연어 트리거)

TainAI

프로덕트 엔지니어

TainAI

LinkedIn
2026-1 - 2026-2 · 2 mos

Developed an AI photo booth service end-to-end as part of a 2-person team (A to Z Global Service Maker). Handled the full cycle from service planning and architecture design to backend implementation, frontend development, and production deployment. Defined MVP scope and designed a scalable theme registry architecture. On the backend, built Firebase Cloud Functions-based APIs, integrated Gemini 2.5 Flash & 3 Pro Image models, implemented an image processing pipeline with Firebase Storage, and designed a point deduction system. On the frontend, built 7 React/TypeScript screens across two product lines (couple shot & character doll), including preset concept UIs, a 2-step character selection modal, and a shared component system. Also handled Firebase infrastructure setup, beta tester access control, and 16-language i18n support. Tech Stack: TypeScript · React · Firebase Cloud Functions & Storage · Gemini API 2인 팀(A to Z Global Service Maker)으로 AI 포토부스 서비스를 기획부터 배포까지 전 과정 담당했습니다. MVP 범위 정의 및 확장 가능한 테마 레지스트리 아키텍처를 설계하고, Firebase Cloud Functions 기반 API 구현, Gemini 2.5 Flash & 3 Pro Image 모델 통합, Firebase Storage 이미지 처리 파이프라인 구축, 포인트 차감 시스템 설계·구현을 맡았습니다. 프론트엔드는 커플샷·캐릭터 인형 두 라인에 걸쳐 React/TypeScript 기반 7개 화면을 구현했으며, 프리셋 콘셉트 UI, 2단계 캐릭터 선택 모달, 공통 컴포넌트 시스템을 개발했습니다. Firebase 인프라 구축, 베타 테스터 접근 제한, 16개 언어 i18n 다국어 지원도 담당했습니다. 기술 스택: TypeScript · React · Firebase Cloud Functions & Storage · Gemini API

Education

Ewha Womans University 이화여자대학교

Ewha Womans University 이화여자대학교

LinkedIn

컴퓨터공학 | 기업가정신 | 스크랜튼학부 자기설계전공 디지털인문학트랙

2023-3 - 2027-6 · 4 yrs 4 mos

Hyeonseo Jang ­'s Contact Information

Email

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Phone

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