Sungmann Cho
Software Engineer at HYBE
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolSungmann Cho is a seasoned software engineer with 12+ years building cross-platform applications, SDKs, and browser technologies for companies like NAVER, NCSOFT, and HYBE. He brings deep systems and native expertise across C/C++, Rust, Java, Python, and modern mobile stacks, having architected multi-OS computer vision and crash-reporting SDKs and shipped browser features in Chromium/WebKit. Notable work includes a Rust-based, Sentry-like crash reporter supporting five OSes and multiple game engines, and contributions to the high-profile ncnn mobile neural network project where he modernized and fixed precision issues. He blends low-level performance tuning with product-facing work—creating Flutter testbeds, CI/CD pipelines, and cross-language bindings via Autocxx/UniFFI—and has a track record of deploying solutions in production services like LINE Pay. A long-time open-source contributor and technical book translator, he’s quietly focused on Rust-driven systems development and pragmatic tooling that bridges research and product.
12 years of coding experience
15 years of employment as a software developer
Bachelor of Science (B.S.) Computer Science, Bachelor of Science (B.S.) Computer Science at Dankook University
Korean, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (8)
c-language10
visual-studio10
cprogramming-language10
optimization9
deep-learning8
android7
inference6
neon6
Programming languages (11)
Github contributions (5)
Tencent/ncnn
Dec 2019 - Dec 2019
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Role in this project:
Backend Developer
Backend DeveloperContributions:5 commits, 1 PR, 1 comment in 10 days
Contributions summary:Sungmann primarily addressed warnings and potential data loss issues within the ncnn framework, specifically focusing on Visual Studio compatibility. Their commits involved modifying various source files to correct type conversions, particularly from `double` to `float` or `int`, which could lead to precision loss. Additionally, the user replaced deprecated `std::{unary|binary}_function<>` with `std::function<>`, modernizing the codebase. They also fixed warnings in tools and added fixes for yolov3detectionoutput and yolodetectionoutput.
simdncnnvulkaniostensorflow
chosungmann/programming-rust-2nd-edition-examples
Sep 2022 - Dec 2023
Contributions:13 pushes, 1 branch in 1 year 2 months
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