HaRyeom Jang

About Me

HaRyeomJangAIAgentEngineer·AIServiceEngineer

Hi — I'm HaRyeom Jang, an AI service engineer who designs and operates AI agents. At Plateer I build the AI agent platform XGEN, covering everything from LLM training and serving to the agent harness and the RAG document pipeline.

Plateer AI R&D · Part LeadDownload CV

6

Research Papers

13

Awards & Honors

8+

Open Source

1

Book (reviewed)

Experience

Career

Plateer Inc.

Oct 2024 – present

AI R&D — Product Development Part Lead

I lead the design, development and operation of the XGEN AI agent platform. I own nearly every layer required to build and run agents — LLM training, serving, the agent harness, the RAG document pipeline — and I present and deliver these projects to customers directly.

  • LLM training: SFT/DPO/GRPO and LoRA lineups for POLAR and Gemma, plus the Korean ModernBERT embedding family
  • Inference: building and running multi-model vLLM serving with an OpenAI-compatible API
  • Agent platform: owner of the XGEN harness, Skills, hybrid memory and MCP-first architecture
  • Document → context: designed the 80+ format in-house parser (now the open-source Contextifier) with table- and code-preserving chunking
Key projectsLotte Homeshopping — agentic AIJeju Bank — GenAI platformIM Capital (Daegu Bank) — AI platform

I design and operate AI agent platforms, and turn what production teaches into libraries and tools anyone can reuse.

Split agents into explicit stages and put a verification step in each one
Preserve table and code structure when preparing documents for RAG
Run LLM training pipelines myself and verify the results
Turn what production teaches into libraries and platforms that can be reused

Core Competencies

Areas of Expertise

LLM Training Operations

Operating the full training cycle

POLAR·Gemma

lineup

SFT·DPO·GRPO

tuning

ModernBERT

embed

SFT / DPO / GRPOLoRA / QLoRA / Unsloth 4-bitPOLAR Gemma 1B~27BKorean ModernBERT · SimCSE

Inference / Serving

Serving and real-time inference optimization

vLLM

serving

OpenAI-compat

api

OmniVoice

realtime

Multi-model vLLM servingOpenAI-compatible APIOmniVoice real-time TTSNFE & two-tier cache tuning

Agent Architecture

Harness · Skills · Memory

Staged

harness

5 LLM

providers

Hybrid

memory

Harness (staged execution)ContentGuard · JudgeHybrid MemoryMCP-first · Skills SDK

Document → Context (RAG)

Document parsing & RAG pipeline

80+

formats

5 Vision-LLM

ocr

Structure preserved

chunk

80+ formats parsedTable- and code-preserving chunking5 vision-LLM OCR backendspgvector · BM25 · GraphRAG

Technical Skills

Tech Stack

What I can do and what I have experienced

LLM & Training

PyTorch90%
TRL (SFT/DPO/GRPO)86%
Unsloth / LoRA / QLoRA88%
Hugging Face92%
ModernBERT / SimCSE84%
GGUF quantization80%

Agent & Serving

vLLM Serving90%
Agent Harness (geny-executor)92%
MCP / Skills SDK88%
Multi-LLM Provider90%
OmniVoice / TTS78%
WebSocket / SSE Streaming85%

RAG & Data

Document Parsing (Contextifier)92%
Chunking strategy88%
pgvector85%
BM25 / Hybrid Search82%
GraphRAG80%
Vision-LLM OCR82%

Full-Stack & Infra

Python / FastAPI92%
Next.js / React88%
TypeScript86%
Docker / K8s82%
PostgreSQL88%
Redis80%

Journey

Timeline

2026work

Enterprise GenAI rollout & technical review of an AI book

Plateer Inc. · Youngjin.com

Launched Lotte Homeshopping's agentic AI service on XGEN, and am currently building Jeju Bank's GenAI platform as part of a KT consortium. I rewrote and technically reviewed the LangChain and LangGraph chapters of "Building AI Services & Agents with LangChain" (Youngjin.com).

2025work

Commercializing XGEN & running the Geny research platform

Plateer AI R&D

XGEN started as a personal side project and grew into the company's flagship AI agent platform. I designed the node-edge canvas, the agent harness, the RAG document pipeline, and the MCP/Skills integration. In parallel I run Geny, a VTuber-based multi-agent and real-time TTS research platform where I prototype the next generation of agent components.

2024work

Joined Plateer · Lead for AI agent platform development

AI R&D — Product Development Part Lead (Oct 2024–)

I design and operate the full AI agent stack hands-on — LLM training operations, inference and serving, agent architecture, and document-to-context (RAG) — and deliver customer projects on top of it. In August of the same year I completed my M.S. in Big Data Application at Kyung Hee University (GPA 4.075/4.3).

2023–2024achievement

Graduate research · publications and awards

Kyung Hee University Graduate School (academic foundation)

Published in IEEE Access and the Journal of Intelligence and Information Systems, among others. Received the Minister of Trade, Industry and Energy Award twice (grand prize, public-data BI competition) and best-paper awards from the Korea Intelligent Information Systems Society and the Korea Society of Management Information Systems. My research covered GraphSAGE citation-network analysis, renewable-energy virtual power plants, and text mining of live commerce.

2022education

Started M.S. in Big Data Application, Kyung Hee University

Kyung Hee University Graduate School

This is where I began research in AI, NLP and network science, and where I first built ML pipelines and large-scale data infrastructure — the starting point of a career that runs from research into products.

2016–2020education

B.A. in Counseling Psychology, Sahmyook University

Sahmyook University (B.A. Counseling Psychology)

I majored in counseling psychology (GPA 3.89/4.5) and won several grand prizes in reading and creativity competitions during my studies.

Authorship

Authorship & technical review

Technical reviewYoungjin.com · 2026

Building AI Services & Agents with LangChain

Rewrote the core LangChain and LangGraph chapters and reviewed the book end to end

Read more

Research

Publications

“In the vast universe of knowledge, every research is a star illuminating the path to discovery”

Research Trends of Health Recommender Systems (HRS): Applying Citation Network Analysis and GraphSAGE

H. Jang, J. Yoo, S. Yang (2023)

Journal of Intelligence and Information Systems

Published

The Development of an Aggregate Power Resource Configuration Model Based on the Renewable Energy Generation Forecasting System

E. Kang, H. Jang, S. Yang, S. Yang (2023)

Journal of Intelligence and Information Systems

Published

Exploring Consumer Behavior in the Travel Experience Sector Through Real-Time Live Commerce Chat

E. Kang, H. Jang, S. Yang (2024)

Journal of Hospitality Marketing & Management

Under Review

Leveraging Stock Discussion Forum Posts for Stock Price Predictions: Focusing on the Secondary Battery Sector

J. Yoo, H. Jang, E. Kang, S. Yang, Y. Yoon (2024)

IEEE Access

Published

HormAS: Hotel Review Management Assistant Service

H. Jang, Y. Yoon, S. Yang, J. Park (2024)

Tourism Management

Under Review

FedKDA: Decentralized Federated Learning Methods Using Knowledge Distillation and Aggregation in Graph

H. Jang (2025)

In Progress

In Progress

Achievements

Awards & Recognition

13 Total Awards · 8 First Places · 2018–2024

2023Minister's Award (1st)

MOTIE Big Data Competition

Power demand forecasting with big data analysis

2024Minister's Award (1st)

MOTIE Big Data Competition

Renewable energy big data analysis

2024Best Paper Award (1st)

KMIS Spring Conference

AI and Management Information Systems

2024Best Paper Award (1st)

KMIS Spring Integrated Conference

Data Analytics Research

2024Best Paper Award (1st)

KIISS Spring Conference

Intelligent Information Systems

2023Grand Prize (1st)

Youngrim Won ERP Idea Competition

ERP idea for university students

2023Best Paper Runner-up (2nd)

Kyung Hee University BDGSC

Big Data Graduate Student Conference

2024Excellence Award (2nd)

Korean Management Conference

Convergence Academic Conference

2023Excellence Award (2nd)

MIS Integrated Academic Conference

Spring Integrated Conference

2018Grand Prize (1st)

Sahmyook Univ. ACE+ Book Story

John Rawls — A Theory of Justice

2018Grand Prize (1st)

Sahmyook Univ. 100 Books Contest

George Orwell — 1984 (Team)

2019Grand Prize (1st)

Sahmyook Univ. Reading Essay

Gerd Brantenberg — Egalia's Daughters

2018Encouragement Award (4th)

3rd Addiction Creativity Contest

Creative solutions for addiction prevention

Education

Academic Background

Kyung Hee University

M.S. in Big Data Application

2022.09 – 2024.08 · GPA 4.075 / 4.3

Research in AI, NLP and network science. Multiple journal publications, a best-paper award, and the Minister of Trade, Industry and Energy Award.

Sahmyook University

B.A. in Counseling Psychology

2016.03 – 2020.02 · GPA 3.89 / 4.5

Majored in counseling psychology, winning several grand prizes in reading and creativity competitions along the way.

Connect

Let's Build Together

If you are interested in AI agents, LLM serving, RAG pipelines, or want to talk about a project, feel free to reach out any time.