Songki Choi
AI Research Engineer Tech Lead at Upstage
Seoul, South Korea
Summary
🤩
Rockstar🎓
Top SchoolSongki Choi is an AI research engineer and tech lead based in Seoul, combining 15+ years in computer vision with deep learning R&D and practical software engineering. He has a proven record at Intel and Upstage of optimizing training and inference pipelines, reducing build-upload-deploy (BUD) costs through algorithmic and low-level optimizations, and leading multi-geo teams as a pragmatic product owner. Songki focuses on real-time, production-ready solutions—object detection, multi-object tracking and document AI—bridging state-of-the-art research with clean, human-readable code and high test coverage. He is known for digesting complex problems deeply before simplifying them into actionable artifacts (code, docs, presentations), and for applying semi/weak supervision and domain adaptation methods to hard real-world data. Fluent in Korean and professionally proficient in English, he brings both hands-on optimization skills and a collaborative, outcomes-driven leadership style.
4 years of coding experience
18 years of employment as a software developer
Bachelor of Engineering - BE, Media / Computer Engineering (Double Major), Bachelor of Engineering - BE, Media / Computer Engineering (Double Major) at Ajou University(아주대학교)
Github Skills (71)
notebook10
mmsegmentation10
anomaly-detection10
semi-supervised-learning10
deep-learning10
automl10
quantization10
backbone10
optimization10
openmmlab10
self-supervised-learning10
text-detection10
face-recognition10
object-detection10
computer-vision10
Programming languages (3)
Github contributions (5)
goodsong81/training_extensions
Mar 2023 - Oct 2024
Contributions:142 pushes, 124 branches in 1 year 7 months
openvinotoolkit/openvino_xai
Jun 2024 - Nov 2024
OpenVINO™ Explainable AI (XAI) Toolkit: Visual Explanation for OpenVINO Models
Contributions:2 releases, 97 reviews, 61 PRs in 4 months
explainable-aiopenvino-toolkitxai
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