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[Engineering, Researching, Programming]
Result-oriented research engineer with 3+ years of experience in corporate environment, have strong knowledge in Computer Vision, Machine Learning for Autonomous vehicle, Brain MRI, Online-interview. Highly motivated, confident professional with a good sense of humor.
Applied AI engineer (computer vision)
Major in Information and Communication Engineering
GPA : 3.90 / 4.50
took a summer session
C++(3) shell script(2)
Medical image (Brain MR)
Realtime 3D recon.
Domain specific engineering
AI service prototyping
Google Korea, Aug 2017
Team forM [Link]
advanced to the finals
Udacity, Jun 2017
3D object detection for Autonomous environment recognition [Link]
Tensorflow Korea, May 2017
Challenge from tensorflow korea
DaeJeon Information & Culture Industry Promotion Agency (DICA), Dec 2016
Incheon creative economical innovation center, Nov 2016
Korea Engineering & Consulting Association (KENCA), Oct 2016
Grand Award [Link]
KSAE, Nov 2015
5th Award [Link]
ArXiv, Feb 2017 [Link]
M.S Thesis paper, Feb 2017 [Link]
3rd International Conference on Vehicle Technology and Intelligent Transport Systems, Jan 2017 [Link]
2016 IEEE 6th International Conference on Consumer Electronics - Berlin (ICCE-Berlin), Sep 2016 [Link]
Joint 8th International Conference on Soft Computing and Intelligent Systems and 17th International Symposium on Advanced Intelligent Systems, Aug 2016 [Link]
The 15th international Conference on Electronics, Information, and Communication (ICEIC 2016), Jan 2016 [Link]
Jan 2017 - Oct 2019
Inbrain is a solution that helps diagnose degenerative brain diseases. Quantitatively measure the degree of cortical atrophy and provide reports to patients and doctors.
Sep 2017 - present
online interview system
Unsupervised anomaly detection with generative model keras implementation [code]
May 2018 - Sep 2018
I'd developed a program that can visually observe how prediction results are being learned during Image-segmentation learning process. [code]
Real time, Real world 3D Reconstruction - 3D 3R
Used stereo camera, opencv, pcl [video]
Feb 2016 - Jun 2016
The whole system which consists of pedestrian, vehicle, lane and 3d obstacle recognition design, implementation of modules used for autonomous vision recognition function.
- CVLab. Autonomous Vehicle System
Jun 2015 - Feb 2016
Development of stixel-based frontal object detection project.
Based on the 3D geometry within the image acquired by the camera, all the objects in front are found and displayed along with the distance.
Processing time : 16 ms/frame (core i7)