Lee DongWon

Hello! I’m a Software Convergence undergraduate at Kyung Hee University and an undergraduate researcher at the EMIL Lab, advised by Professor Sungha Choi. I study KV cache quantization to cut LLM memory for on-device inference, aiming for work that reaches real products. I also love AI tools and heavily use agentic AI like Grok Bot.

Experience

Undergraduate Research Intern, EMIL Lab, Kyung Hee University
Jul. 2026 – Present

Research Topic: Memory-efficient KV cache quantization for reasoning LLMs (LRMs), in progress.

Software Engineer Internship, ROBROS
Dec. 2025 – Mar. 2026

Built and shipped IGRIS-C’s camera communication system end to end on the physical robot, streaming multiple cameras in real time over LAN and Wi-Fi, now part of its public SDK Camera API.

  • Streamed cameras over CycloneDDS: on-robot Jetson → NUC bridge → client PCs.
  • Designed the image IDL message and the bridge routing (IP forwarding, NAT).
  • Tuned UDP buffers and resolution/FPS; shipped it as a systemd service.

ROBROS camera streaming project →

Biometric Data Analysis Research (Research Assistant), Kyung Hee University
Jul. 2025 – Dec. 2025

Studied how ChatGPT is used in elementary-school classrooms through social data analysis.

  • Built a multimodal classroom-interaction dataset.
  • Defined annotation criteria and checked annotation consistency.
  • Ran hypothesis-driven analysis in Python.
Student Founder & PM, Photo Studio Booking Platform
Mar. 2024 – Jul. 2025

Founded 찰칵의 덕후, a student-run startup, and built and shipped an iOS app end to end while leading a 5-member team, replacing misleading photo-studio ads with transparent search, comparison, and booking.

  • MVP: map-based studio search, booking requests, reviews, social login.
  • iOS app and admin web (React Native, Node.js) on GCP with GitHub Actions.
  • 16 B2B partner studios and photographers, 500+ DAU, and App Store monetization.
Sergeant, Republic of Korea Army
Jul. 2022 – Jan. 2024

Completed mandatory military service.

Current Work

Memory-Efficient Long-Video Understanding (Capstone)

– Present

Streaming long-video understanding with Qwen2-VL-7B: on top of InfiniPot-V KV cache compression, I store the kept KV cache in INT4 instead of FP16, so the model needs fewer KV bytes at the same token budget.

View project →

Memory-Efficient KV Cache Quantization for Reasoning LLMs (EMIL Lab)

– Present

Studying memory-efficient KV cache quantization for reasoning LLMs (in progress).

View project →

Projects

  • 찰칵의 덕후 logo찰칵의 덕후 — Photo Studio & Photographer Finder App — 사진관과 사진가를 찾아 비교하고 예약·결제까지 하는 모바일 앱 창업 프로젝트 (Mar. 2024 – Jul. 2025). View project →
  • GPU-Accelerated LLM Inference (Mar. 2025 – Present) — GPU kernel optimization and self-hosted LLM serving with vLLM on limited GPU resources
  • ROBROS — Real-time Camera Streaming for a Humanoid Robot — Live multi-camera video over wired + Wi-Fi networks on the IGRIS-C humanoid, now part of its public SDK Camera API. View project →
  • Data-Efficient 3D Reconstruction — View selection via dataset distillation for 3D Gaussian Splatting (Mar. – Jun. 2026). View project →