Sungjae Lee

Software Engineer at NAVER Cloud

About Me

I’m a software engineer at NAVER Cloud. I’m interested in machine learning and backend engineering.

Programming Languages : C/C++, CUDA C/C++, Python

Simulation Tools : gem5, MARSSx86, DRAMsim3

Backend Development : Kubernetes, Linux



Software Engineer

2023.01 - present


Software Engineer

2020.12 - 2022.12


Yonsei University

2019.03 - 2021.02

M.S. in School of Electrical and Electronic Engineering

Yonsei University

2013.03 - 2019.02

B.S. in School of Electrical and Electronic Engineering



LLM from NAVER specialized in Korean language


ML Training Platform on Kubernetes


Lightweight Neural Network Benchmarks


Hyperscale AI, ‘HyperCLOVA’ serving (DEVIEW 2021)


G. Park, B. Park, M. Kim, S. Lee, J. Kim, B. Kwon, S. Kwon, B. Kim, Y. Lee, and D. Lee, “LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models,” International Conference on Learning Representations (ICLR), May 2024.

S. Hong, S. Moon, J. Kim, S. Lee, M. Kim, D. Lee, and J. Kim, “DFX: A Low-latency Multi-FPGA Appliance for Accelerating Transformer-based Text Generation,” IEEE/ACM International Symposium on Microarchitecture (MICRO), Oct. 2022.

B. Kim, H. Kim, S. Lee, G. Lee, D. Kwak, D. H. Jeon, S. Park, S. Kim, S. Kim, D. Seo, H. Lee, M. Jeong, S. Lee, M. Kim, S. H. Ko, S. Kim, T. Park, J. Kim, S. Kang, N. Ryu, K. M. Yoo, M. Chang, S. Suh, S. In, J. Park, K. Kim, H. Kim, J. Jeong, Y. G. Yeo, D. Ham, D. Park, M. Y. Lee, J. Kang, I. Kang, J. Ha, W. Park, N. Sung, “What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers”, Conference on Empirical Methods in Natural Language Processing (EMNLP), Nov. 2021.

S. Lee, “Exploiting Large and Small Page Sizes in Two-Tiered Memory System,” Master’s Thesis, School of Electrical and Electronic Engineering, Yonsei University, Dec. 2020.

B. Kim, S. Lee, A. Trivedi, and W. Song, “Energy-Efficient Acceleration of Deep Neural Networks on Realtime-Constrained Embedded Edge Devices,” IEEE Access, Nov. 2020.

B. Kim, S. Lee, C. Park, H. Kim, and W. Song, “The Nebula Benchmark Suite: Implications of Lightweight Neural Networks,” IEEE Transactions on Computers, Oct. 2020.

B. Kim, S. Lee, and W. Song, “Nebula: Lightweight Neural Network Benchmarks,” Workshop on Modeling and Simulation of Systems and Applications, Aug. 2020.


W. Song, B. Kim, and S. Lee, “Operation Device of Artificial Neural Network, Operation Method of Artificial Neural Network and Computer Program Stored in A Recording Medium to Execute The Method,” 10-2021-0071874, June 2021.

Scholarships and Awards

Scholarship for combined BS/MS program (Yonsei University, Full tuition for master course, Mar. 2019 - June 2020)

4th Place Award (Korea Auto-Vehicle Safety Association (KASA), Autonomous Car Racing in 2017 International Student Car Competition)

Honors Student Award (Yonsei University, Mar. 2013 / Sep. 2017)