Young Jai
Software Engineer at Kakao Corp
Gyeonggi, South Korea
Summary
🤩
Rockstar🎓
Top SchoolYoung Jai is a software engineer with four years' experience building production-grade ML and data platforms, currently at Kakao after prior ML engineering work at AhnLab. He designs scalable inference and serving systems—authoring a Python asyncio + RabbitMQ ML serving framework, GPU-accelerated Visual Transformer inference pods (70+ TPS/pod with Triton), and Prometheus/Grafana monitoring for Kubernetes deployments. He also implements large-scale data pipelines with Spark Structured Streaming and Kafka, optimizing queries and extracting statistical features over 100M+ rows. Comfortable across model engineering, GPU-based embedding clustering, and graph/network analysis, he blends statistical training with practical systems engineering from his statistics background at Sungkyunkwan University. An interesting detail: he routinely relieves CPU image-processing bottlenecks by moving transforms into PyTorch tensors to unlock GPU throughput in production.
4 years of coding experience
2 years of employment as a software developer
학사, Statistics, 학사, Statistics at 성균관대학교
Github Skills (12)
pypi10
telegram-bot9
telegram8
python8
package-repository8
traceability7
yelp7
ios7
data-storage5
transparency5
java4
product-management3
Programming languages (3)
Github contributions (5)
Young-jai/Young-jai
Sep 2021 - Sep 2021
Contributions:5 commits, 4 pushes, 1 branch in 1 day
Young-jai/home-assistant.io
Jul 2022 - Jul 2022
:blue_book: Home Assistant User documentation
Contributions:2 pushes in 1 day
blueuser-documentationassistanthacshome-assistant
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