Park Chansung
Research And Development Engineer at ETRI
South Korea
Summary
🤩
Rockstar🎓
Top SchoolPark Chansung is an R&D engineer with nine years of experience building and researching transport and optical networks, currently applying SDN and network slicing to optical access via industrial-grade platforms like SEBA. He blends deep learning research and software engineering—contributing backend code for LLM-based chatbot services and holding recognition as a HuggingFace Fellow and Google Developers Expert in ML and GCP. Proficient in C++, Java, JavaScript, and Python, he has a track record of low-latency network control software, CUDA-accelerated scheduling, and protocol extensions for practical deployment. Based in South Korea, he also supports AI education locally (Fast.ai translations) and experiments with bringing ML models into secure, production-ready web services.
9 years of coding experience
9 years of employment as a software developer
Exchange Student, Computer Science, Exchange Student, Computer Science at University of WashingtonSpecialization, Neural Networks and Deep Learning, Pass, Specialization, Neural Networks and Deep Learning, Pass at CourseraArtificial Intelligence Nanodegree and Specialization, Artificial Intelligence, Pass, Artificial Intelligence Nanodegree and Specialization, Artificial Intelligence, Pass at UdacityBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Inje University
English, Japanese, Korean
Stackoverflow
33reputation
1kreached
0answers
1question
Github Skills (14)
asynchronous10
rest-api10
fastapi10
web-development10
api10
web-application10
webapp10
python10
apidoc10
async10
asyncio10
firebase-authentication9
huggingface-transformers9
bit-manipulation6
Programming languages (10)
Github contributions (5)
deep-diver/LLM-As-Chatbot
Feb 2023 - Mar 2023
LLM as a Chatbot Service
Role in this project:
Back-end Developer
Back-end DeveloperContributions:91 commits, 46 PRs, 264 pushes in 24 days
Contributions summary:Park primarily focused on building a chatbot service using a large language model. Their contributions include creating and updating the main application file (`main.py`) which defines the API endpoints (`/echo`) for handling text input and generating streaming responses. The user integrated Firebase authentication for security and also incorporated a pre-trained language model from the Hugging Face transformers library and utilizing the `gen.py` script. The user also included cors middleware, which is key for web applications.
deep-diver/Data-Analysis-on-RedWine
Nov 2017 - Oct 2018
Contributions:1 release, 11 commits, 9 pushes in 11 months
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.