Usman Asim — Computer Vision & Edge

Usman Asim — Computer Vision & Edge-AI Engineer 🦚" /> Open to engineering roles Usman Asim Computer vision, MLOps & edge-AI engineer building deep-learning systems where hardware, latency, and reliability actually matter — from driver monitoring to medical imaging. Seoul, Republic of Korea asimsaikhu@gmail.com 7+ Years in CV / edge AI 7 Engineers led 10× Faster inference 6+ NPU platforms 01 What I do I build, optimize, and ship deep-learning vision systems on embedded NPUs and in the cloud — across driver & occupant monitoring, road perception, industrial safety, and medical imaging. On TI TDA4VM, Hailo-15, Renesas R-Car, Rockchip, Mobilint Aries, and DeepX M1 targets, I've led a seven-engineer team, built Docker-based MLOps pipelines, and delivered up to 10× faster inference than Python laptop baselines. Published researcher with six peer-reviewed papers. EDGE DEPLOYMENT Edge-AI on NPUs Quantization, packaging, and optimized inference on automotive and industrial NPUs — TDA4VM, Hailo-15, R-Car, Rockchip, Mobilint Aries, DeepX M1, and more. AUTOMOTIVE Driver & occupant monitoring Face detection, landmarks, gaze, and drowsiness on embedded IR camera systems, aligned to Euro NCAP-oriented DMS requirements. MLOPS Reproducible delivery Docker-based CI/CD for model release consistency, Yocto SDK customization, and reproducible embedded deployment pipelines. RESEARCH Medical imaging Segmentation and classification research, including 3D-CNN diagnosis on brain MRI and active-contour methods. Six peer-reviewed papers. 02 Experience Oct 2024 — Mar 2026 Vancouver, CA · Remote AI Consultant part-time Evismart · AI Product Consulting 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-re