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지승현Seunghyun Ji

Knowledge gains its value when shared. I find what should be known, share with diverse perspectives, and implement — as an AI Research Architect.

Highlights

Continuous follow-up on cutting-edge research and meta-analysisPaper notes
Intuitive explanations to bridge perspectives across disciplinesYouTube lectures
Solo development of the AI OS project (yaar) and other AI workGitHub Repo

Experience

25.09 – 26.03
  • On-premise LLM R&D project for vertical domain at automotive company H
  • On-premise LLM build project for a KEPCO-affiliated organization
Head of AI Research & Development @ Rivetta Inc.
25.03 – 25.06
  • Multi-Agent System R&D
  • Platform development, QA, and optimization using Codex
AI Team (reporting to CTO) @ Connectwave Inc.
24.07 – 24.10
NLP Researcher, AI Research Team (DS Division) @ Telepix Inc.
23.03 – 23.10
  • Implemented and improved various models: filtering, translation, sentence embeddings [Public repo]
  • Authored and presented a paper on translation data collection methodology [Paper] [Slides]
  • Implemented vision models for cloud detection; led seminars on recent research [Seminar slides]

Education

Soongsil University Graduate School M.S. in Software Engineering, GPA 4.36/4.5
21.03 – 23.02
  • Thesis: Masked Language Modeling using Text Length (advisor: Prof. Soowon Lee) [Paper]
  • Industry-academia R&D project [Slides]
Soongsil University B.S. in Computer Science, GPA 3.72/4.5
14.03 – 21.02

Publications

Seunghyun Ji. Ortho-Hydra: Orthogonalized Experts for DiT LoRA. Arxiv preprint. [Link]

Seunghyun Ji, Sinulangga H.R., and Darongsae Kwon. Robust Guidance for Unsupervised Data Selection: Capturing Perplexing Named Entities for Domain Specific Machine Translation. SIGUL 2024 (LREC-COLING 2024 satellite workshop). [Link]

Seunghyun Ji. Confidence Regularized Masked Language Modeling using Text Length. M.S. Thesis, Soongsil University. [Link]

Seunghyun Ji, Soowon Lee. Substitute Word Extraction via a Replaced-Token Detection Model. KIISE Journal. [Link]

Seunghyun Ji, Soowon Lee. Substitute Word Extraction via a Discriminative Model. KCC 2022. [Link]

Seunghyun Ji, Youngmo Kim, Seok-Yoon Kim. A study on performance enhancement of bi-LSTM text sentiment model using bootstrap method with limited tokens. EEECS 2020.

Skills & Activities

Tech Stack
  • End-to-end deep learning model dev/training experience including PyTorch and CUDA customization
  • Python, C, C++, Java
  • Cloud computing on GCP/AWS VMs and remote training experience
  • Git, Bun/uv, postgre and other deployment/DBMS tooling
Conference Reviewing
  • SIGUL 2024 (LREC-COLING 2024) workshop — Program Committee [Name list]
  • EMNLP 2023 — Invited Reviewer
  • ACL 2023 — Emergency Reviewer (≤3 papers)
Consulting & Advisory Activities
  • KOCCA invited lecture: 'Development using Claude'
  • Invited AI expert for KRIT DTiMS 4.0 advancement project audit
  • Project consulting and mentoring [Featured project]
  • AX consulting @ IBS Co., Ltd. (based in Japan)
Teaching & Study Activities
Competitions
  • 2022 NIKL AI Capability Evaluation: Aspect-Based Sentiment Analysis [GitHub]

Other Experience

NLP AI Researcher (short-term contract) @ IBS Inc., Japan23.11 – 23.12
TOEIC 8852022.01
Curriculum design assistant, Soongsil Digital Innovation Talent Institute2022/01 – 2022/02
Soongsil debate club 'Manjang-ilchi' member2020.09 – 2021.12
Call center contractor in Japan (Linkage Service Co., Ltd.)2018/09 – 2019/05
JLPT N12016.08
Conscripted police service, completed2015.11 – 2017.08