cv
The brief CV.
Basics
| Name | Usman Asim |
| Label | Computer Vision Engineer, MLOps Engineer |
| asimsaikhu@gmail.com | |
| Phone | (+82) 10-3406-1900 |
| Url | https://saikhu.github.io |
| Summary | A results-oriented AI Research and Development Engineer with over 4 years of expertise in Computer Vision, Machine Learning, Deep Learning, and Automation/MLOps. Passionate about devising improved problem-solving methods for complex tasks and eager to embrace new technologies and tools. |
Work
- Sep 22 - Pre
Team Lead / AI Researcher - Computer Vision
DeltaX.ai
Leading a team specializing in model deployment on edge devices, AI/CNN Model optimization, and MLOps-related initiatives.
- Hyundai - Open Innovation Lounge project
- KIA - Edge Computing project
- LG Display - Smart Roof Display development
- Hyundai Mobis - Cabin Monitoring System and Driver Monitoring System projects
- May 20 - Feb 22
Research Assistant
AI Vision Lab CAU
Contributed to image segmentation, brain stroke image generation, and maritime object detection projects.
- Mar 22 - Sep 22
Associate Research Engineer
UNOMIC Co. Ltd
Designed and implemented CI/CD Pipeline and developed a cloud-native Alzheimer’s Disease Detection App.
- Aug 19 - Jan 20
Computer Vision Research Intern
ARFA Software Technology Park
Worked on Offline Signature Verification and CNN Segmentation Experiments.
Education
-
Sep 15 - Aug 19 B.S.
COMSATS University
Computer Science and Engineering
- Artificial Intelligence
- Digital Image Processing
- Database
- Artificial Intelligence
-
Mar 20 - Feb 22 Master's
Chung-Ang University
Computer Science
- Advanced Algorithms
- Machine Learning/Deep Learning
- Advanced Artificial Intelligence
- Advanced Computer Graphics
- Advanced Image Processing
- Big Data
Languages
| Punjabi | |
| Native |
| Urdu | |
| Native |
| English | |
| Fluent |
| Korean | |
| Beginner |
Awards
- 2019
The Chung-Ang University Young Scientist Scholarship
Chung-Ang University
- 2019
Gold Prize Winner of Speed Programming
Air University
Certificates
| IELTS - 7 Band | ||
| British Council Korea | 2023 | |
| Machine Learning Engineering for Production (MLOps) | |||||
| DeepLearning.AI | 2022 | ||||
| TensorFlow: Advanced Techniques | |||||
| DeepLearning.AI | 2022 | ||||
| Convolutional Neural Networks | ||
| Coursera Inc. | 2021 |
Publications
-
2022 Image Generation Network Model based on Principal Component Analysis
Asia Conference on Advanced Artificial Intelligence, Machine Learning and Man-machine Interaction
G. Soon, U. Asim, M. Keun and K. N. Choi, 2022.
-
2022 3D-CNN Method over Shifted Patch Tokenization for MRI-Based Diagnosis of Alzheimer’s Disease Using Segmented Hippocampus
Journal of Multimedia Information System
Emmamuel, A., Asim, U., Yu, H. and Kim, S., 2022.
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2021 Saliency- based Active Contour Model for Image Segmentation and Region Detection
2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)
Joshi, A., Khan, M S., Asim, U., Munir, A., Song, H C., and Choi, K. N., 2021.
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2021 Active contour model for image segmentation with dilated convolution filter
IEEE Access
U. Asim, E. Iqbal, A. Joshi, F. Akram and K. N. Choi, 2021.
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2020 Saliency-Driven Active Contour Model for Image Segmentation
IEEE Access
E. Iqbal, A. Niaz, A. A. Memon, U. Asim and K. N. Choi, 2020.