Usman Asim

AI Consultant part-time

Advised an in-house AI product team on a dental-scan segmentation product, end to end.

• Guided computer-vision model design, optimization, and deployment strategy for dental-scan segmentation.
• Translated clinical imaging requirements into practical model-development and production-readiness guidance.

AI Research Engineer

Brought the iSafeGuard industrial-safety platform onto embedded AI hardware.

• Deployed iSafeGuard YOLOv8 worker-safety models on Mobilint Aries and DeepX M1 NPUs and benchmarked performance across embedded targets.
• Built a remote AI model-management and monitoring system for camera-based safety devices running on embedded NPUs.

Team Lead · Computer Vision & Edge-AI Engineer

Led seven engineers across model optimization, deployment, and integration for automotive AI programs delivered to Hyundai, Kia, and LG Display.

• Delivered multi-model inference pipelines up to 10× faster than Python laptop baselines across TI TDA4VM, Hailo-15, Renesas R-Car, and Rockchip.
• Customized Yocto-based Linux SDKs and built OpenVX / embedded C/C++ apps for fisheye IR driver & occupant monitoring cameras, integrating in-vehicle sensor-fusion inputs.
• Automated Docker-based CI/CD for releases; shipped models spanning driver & occupant monitoring, surround-view road perception, road-crack detection, in-cabin gesture UI, and factory surveillance.

AI Research Engineer

Took a medical-imaging classifier from research to a regulated, cloud-native deployment.

• Developed and deployed a cloud-native, containerized 3D-CNN for Alzheimer's-disease classification from 3D brain MRI.
• Supported a Korea MFDS medical-device registration submission under Personal Information Protection Act (PIPA) requirements.

Researcher

First-author IEEE Access work on active-contour and dilated-convolution methods for inhomogeneous image segmentation. Contributed to an NRF-funded brain-stroke image-generation and segmentation project using GANs, and to a National Information Society Agency maritime object-detection dataset.

Research Assistant intern

Built U-Net-based 2D brain-MRI segmentation experiments and ran transfer-learning comparisons across CNN baselines; collected and labeled an offline-signature recognition dataset for downstream verification.

M.S. Computer Science & Engineering

Thesis: Active Contour Model for Image Segmentation with Dilated Convolution Filter. Research in image segmentation and medical imaging, including 3D-CNN diagnosis on brain MRI. Teaching assistant for Advanced Image Processing. Six peer-reviewed papers across IEEE Access, Springer, and international conferences.

B.S. Computer Science

Final-year project: an automated medical-imaging classification toolkit in MATLAB (dataset loading, preprocessing, handcrafted & deep feature extraction, classifier comparison). Teaching assistant for Object-Oriented Programming, Digital Image Processing, and Neural Networks.