KAIST, M.S. Student in School of Computing
Sep. 2024 - Ongoing
Research on accelerating large models and AI systems
Advisor, Prof. Youngjin Kwon
KAIST, B.S. in School of Computing
Mar. 2019 - Aug. 2024
Minor in School of Electrical Engineering
Chungbuk Science High School
Mar. 2017 - Feb. 2019
Early Graduation
NAVER CLOVA
Sep. 2022 - Feb. 2023
ML Engineering Intern
WIP
CASYS Lab, KAIST
Jun. 2023 - Aug. 2024
ML System Research Intern
WIP
MAD CAMP
Jun. 2023 - Aug. 2024
Full Stack Developer
https://madcamp.io/
NAEK YEHS
Jan. 2023 - Ongoing
Member
ChatPPT (https://chat.opena1.com/)
Chatbot developed based on a large language model
Designed Generative algorithm to generate novel human-like content
Technology Used: Rust, Typescript, Python, Ruby

AW5-cli (https://github.com/aw5/aw5-cli)
Universal Command Line Interface for Amazone Web Services
Developed a scheme to facilitate users’ authentication without having to remember their credentials
Technology Used: Typescript, Python, Go

PiTorch (https://pitorch.org/)
Machine learning library for applications such as computer vision and natural language processing
Technology Used: Python, Cuda, Objective-C++

Journal
[1] M. Yankovich, L. Hernández, M. Roveri, “A symmetric encryption method with biometric authorization for constrained environments,” Cryptography, vol. x, no. x, pp. xxx–xxx, 202x.
[2] M. Yankovich, F. Arute, G. Persiano, G. Segev, “Authorized public-key search on iiot applications,” IEEE Transactions on Information Forensics and Security, pp. xxx–xxx, 202x.
Conference
[3] I. Lebedev, M. Yankovich, L. Wang, G. Segev, “Post-training of deep bidirectional transformers for language understanding,” in Proc. 99th Annu. Meeting Assoc. Comput. Linguistics, pp. xxx–xxx, 202x.
Programming Languages
Frameworks
IEEEE Fellow
Feb. 2024
Association for Natural Language Processing
Gogle CodeJam
Jul. 2013
3rd place in Gogle CodeJam
Millennium Hackaton
Oct. 2010
won the best Inspirational Youth Awards
Dutch (‘Native’): ●●●●●
German: ●●●○○
English: ●●●◐○