Biho Kim
Recommendation Engineer
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolBiho Kim is a Recommendation Engineer with nine years of experience building production ML systems for advertising, music and news personalization, and speech recognition at Kakao and Hyundai Motor Company. At Kakao he drives CTR/CVR and bid prediction models for commerce ads, having previously led a cell focused on Melon and Daum recommendation products. His background in deep learning and digital signal processing informs practical work across speech wake-word detection, multi-mic enhancement, and large-scale recommender pipelines. He combines research-level expertise from a master's in electrical engineering with hands-on engineering to optimize both model quality and inference efficiency in real-world services. Based in Seoul, he bridges core signal-processing know-how and modern recommender ML, making him adept at solving cross-domain problems that span audio and user-behavior data.
9 years of coding experience
7 years of employment as a software developer
석사, 전자공학, 석사, 전자공학 at 서강대학교
Github Skills (34)
lightning10
pytorch10
artificial-intelligence10
python10
data-science10
speaker10
lifecycle10
machine-learning10
pdf10
scaling10
cost-management10
infrastructure10
latex10
deep-learning10
ai10
Programming languages (1)
Github contributions (5)
qqueing/DeepSpeaker-pytorch
Oct 2017 - Oct 2018
Speaker embedding(verification and recognition) using Pytorch
Contributions:12 commits, 11 pushes, 1 branch in 11 months
pytorchend-to-enddeep-learningrecognitionspeaker
qqueing/SR_with_kaldi
Sep 2017 - Sep 2017
Contributions:7 commits, 6 pushes, 1 branch in 1 day
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.