JesikΒ Min
Software Engineer at Meta
California, United States
Summary
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Seniorπ
Top SchoolJesik Min is a software engineer with 10 years of experience building large-scale ML and infrastructure systems, currently contributing to supercomputing infrastructure at xAI. Their background spans ML infrastructure, federated learning, and AR at Meta, autonomy infrastructure at Applied Intuition, and hands-on systems work across compute, storage, k8s, networking, and fleet health. A Stanford-trained computer scientist specializing in AI, Jesik blends deep ML familiarity with pragmatic production engineering to move models from research into hyper-scale compute environments. They are an active open-source contributor and technical writer, notably helping translate PyTorch tutorials into Korean to broaden access to ML education. A former squad leader in the Republic of Korea Army Special Warfare Command, Jesik brings disciplined leadership and operational rigor to complex distributed systems problems.
11 years of coding experience
8 years of employment as a software developer
Korean Minjok Leadership AcademyCheongshim International AcademyMaster of Science - MS, Computer Science (Specialization: Artificial Intelligence), Master of Science - MS, Computer Science (Specialization: Artificial Intelligence) at Stanford University
Korean, English
Github Skills (11)
user-manual10
pytorch10
learn-ruby-on-rails10
basics10
translation10
documentation10
k10
restructuredtext8
onnx6
deep-learning5
deeplearning-ai5
Programming languages (2)
Github contributions (5)
PyTorchKR/tutorials-kr
Jan 2020 - Feb 2020
π°π·νμ΄ν μΉμμ μ 곡νλ νν 리μΌμ νκ΅μ΄ λ²μμ μν μ μ₯μμ
λλ€. (Translate PyTorch tutorials in Koreanπ°π·)
Role in this project:
Technical Writer
Technical WriterContributions:9 commits, 6 PRs, 25 comments in 3 days
Contributions summary:Jesik primarily contributed to the repository by translating PyTorch tutorials and documentation from English to Korean. Their work involved adding Korean translations for several tutorials, including those on C++ export, ONNX, and data loading, as well as improving existing translations. The user also addressed comments and made minor revisions to the translated content, ensuring the accuracy and clarity of the Korean versions.
pytorchpytorch-tutorialskorean-docstranslationkorean
jessemin/AdversarialSeqToSeq
May 2018 - May 2018
Contributions:48 commits, 36 pushes, 1 branch in 1 day
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