SanSoft

- Upwork Expert-Vetted Computer Vision and Deep Learning Engineer - 100% success rate - Successfully completed 41 projects As an Upwork Expert-Vetted Computer Vision and Deep Learning Engineer with over 5 years of experience, I have successfully delivered various projects in computer vision, including image classification, object detection, segmentation, and recognition. My expertise in MLOps has enabled me to deliver robust and scalable production ML systems, and I am well-versed in CI/CD pipelines, cloud infrastructure, and MLOps tools such as Kubeflow, MLflow, and Tensorflow Extended. Moreover, my experience in full-stack development allows me to integrate computer vision solutions into web or mobile applications seamlessly. With my skills and experience, I am confident in my ability to provide cutting-edge solutions that meet business needs while maintaining the highest quality standards. I have direct experience in the following technologies/topics: - Computer Vision: Object detection, Classification, Localization, Segmentation, CNN, Faster-RCNN, YOLO, OpenCV - NLP: ChatGPT, GPT-3, Text classification, Chatbots, Text generation - Self-Driving Cars: Sensor Fusion, Localization, Path Planning, Control, and System Integration - Real-time Pose Estimation: OpenPose - Python, JS, C++, Tensorflow, Keras - Google Cloud and AWS based neural network training and deployment - Docker, Github, Linux - 10+ years of full-stack web development experience: PHP, MySQL, JavaScript, React, Node.js MLOps: - Building highly scalable systems for deploying and operating models in production - Setting up CI/CDs to automate Machine Learning algorithms testing and deployment - Implementing MLOps tools, frameworks for ML projects (AWS, Kubernetes, Seldon, CI/CD, Docker)