Jin Kim
Co-Founder, CTO at playmore, Inc.
Gyeonggi, South Korea
Summary
🤩
Rockstar🎓
Top SchoolJin Kim is a seasoned software leader and entrepreneur with 11 years of experience building AI-driven products, scalable web/mobile services, and production infrastructure. As Co-Founder and CTO of playmore and former AI lead roles at NAVER and WantedLab, he combines hands-on ML modeling (including TensorFlow tutorials, DQN, autoencoders and GAN examples) with product strategy and operational ownership. He has repeatedly led migrations, legacy modernizations, and team building—delivering lightweight mobile inference engines, vector search and generative AI tooling for B2B and consumer use cases. An active open-source contributor, he enhanced a multimodal conversational AI framework’s TTS features and documented practical ML implementations for learners. Based in Gyeonggi, South Korea, Jin pairs deep engineering craft with business acumen and a habit of “writing code like a fireman” when systems need rescuing.
11 years of coding experience
14 years of employment as a software developer
Statistics, dropped out, Statistics, dropped out at Choongbuk University
Github Skills (21)
python10
dcgan10
cgan10
bots-framework10
autoencoder10
dqn10
voice10
deep-learning10
tensorflow10
ai10
chatterbot10
neural-network10
bot-framework10
chatbot10
apim9
Programming languages (8)
Github contributions (5)
golbin/TensorFlow-Tutorials
Jan 2017 - Jan 2023
텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다
Role in this project:
ML Engineer
ML EngineerContributions:77 commits, 11 PRs, 71 pushes in 6 years
Contributions summary:Jin primarily contributed to the implementation and explanation of machine-learning concepts within the repository. They added examples and explanations for softmax and cross-entropy functions, and integrated a Deep Q-Network (DQN) model. Moreover, the user provided code demonstrating the autoencoder and Generative Adversarial Network (GAN) models, focusing on practical application and clear documentation of machine-learning principles using TensorFlow.
autoencoderrnnpythonseq2seqdeep-learning
pipecat-ai/pipecat
Aug 2024 - Apr 2025
Open Source framework for voice and multimodal conversational AI
Role in this project:Back-end Developer
Back-end DeveloperContributions:3 reviews, 3 PRs, 36 comments in 7 months
Contributions summary:Jin contributed to the Cartesia TTS service by adding voice options and integrating input parameters for customization within the `pipecat` framework. They also modified several example files to demonstrate the usage of the updated Cartesia service, including setting sample rates. Furthermore, the user added methods for setting speed, emotion, and language within the Cartesia TTS service, enhancing its flexibility.
aichatbot-frameworkchatbotsreal-timevoice
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.