Muhammad Sami Uddin Rafay

I am Muhammad Sami Uddin Rafay, an AI and Computer Vision Engineer specializing in developing advanced real-time AI and computer vision solutions. With extensive experience in stereo vision, depth perception, time-of-flight sensors, LiDAR, and sensor fusion, I design and deploy systems for industrial, logistics, smart city, and healthcare applications.

My expertise spans the full AI lifecycle—from data collection, model development, and training, to deployment on edge devices such as OAK Cameras, NVIDIA Jetson, Raspberry Pi, and Google Coral, as well as cloud-based MLOps using AWS and Google Cloud Vertex AI. I am proficient in object detection, segmentation, tracking, and anomaly detection using state-of-the-art algorithms including YOLOv5–YOLOv11, UNET, DeepLabv3, Segmentation Transformers, and Detectron2.

I offer end-to-end solutions including:

3D Computer Vision & Depth Sensing: Stereo vision, TOF cameras, LiDAR point cloud processing.
Video Analytics & Smart Applications: Real-time monitoring, retail & logistics automation, industrial inspection, fall detection, and public safety.
AI Model Development & Optimization: Edge AI deployment, ONNX, TensorRT, OpenVINO, TensorFlow Lite, and efficient model inference.
Generative AI & Prompt Engineering: Expertise with ChatGPT, DeepSeek.ai, and Google Gemini for AI-assisted solutions.
MLOps & Cloud Integration: Building pipelines, dashboards, and automated AI workflows using AWS, GCP, and Docker.

I support my clients throughout the entire project journey, from conceptualization and requirement analysis to deployment and maintenance, providing tailored advice, strategic planning, and solutions that ensure reliability, scalability, and measurable impact.

Whether it’s developing industrial AI systems, automating video analytics, or building edge AI prototypes, my goal is to deliver intelligent, practical, and high-performance solutions that help organizations leverage AI effectively and focus on their growth.