Seunghyun Ko Email & Phone Number

Seoul, Kr

대한민국 서울

I have been serving as an MLOps Engineer at 3i Inc. for three years. My job involves developing and improving pipelines and infrastructure that seamlessly integrate machine learning models into business processes. Below is an overview of my responsibilities and key accomplishmentsMain Objective:- Focus on creating a robust system that allows software developers to easily experiment with and evaluate the performance of new developments.Key Responsibilities:- Strategizing and implementing solutions for GPU servers and cloud-based services.- Automating tasks from the development stage to production of ML models using GitHub Actions.- Efforts to increase the efficiency and speed of training machine learning models.- Collaborating with data scientists and data engineers to align technical strategies.- Documenting all processes and workflows for transparency and continuous improvement.Key Accomplishments:1. Designed, built, and operated an AI platform for the development/operation of AI services (Jan 2021 - Present)- Streamlined AI infrastructure, reducing deployment time by 75% and simplifying machine learning environment setup.2. Implement Docker Container Deployment Pipeline Using GitHub Actions (Sep 2023 - Present)- Transformed the container deployment process to automated, decreasing model deployment time by 88% from 9 hours to 1 hours.3. Developed an semi-automated E2E pipeline for real-time updates of object detection models (Feb 2023 - Jun 2023)- Enhanced model deployment ease and facilitated developer collaboration by establishing an end-to-end pipeline from data collection to deployment.4. Utilized IaC tools to codify AWS/on-premise infrastructure (Apr 2022 - Aug 2022)- Easy to deploy aws/on-remise infrastructure using IaC tools5. Implement Object Detection CI/CD/CT Pipeline using Tensorflow (Jun 2021 - Feb 2022)- Automated the process of retraining and deploying models with a CI/CD/CT pipeline in GitLab CI.

Gangnam-Gu, Seoul, Korea

Give a lecture about face recognition based on deep learningGive a presentation about recent face recognition paper and how to implement face recognition program based on python using Amazon AWS server

Bryan/College Station, Texas Area

Maintain the oil monitoring website using c++

Education record

Phd Candidate, Computer Engineering

Activities and Societies: The staff and video editor of Barcrobatic Soulz International Journal Visual Tracking Based on a United.

Master'S Degree, Computer Engineering

Activities and Societies: Barcrobatic Soulz KCI : Improved CS-RANSAC Algorithm Using K-Means Clustering

Bachelor'S Degree, Computer Engineering With Electrical Engineering Track

Activities and Societies: KASA(Korean Aggies Soccer Association)