About

Harsh Patel is a skilled Software Development professional with a keen interest in Computer Vision and MLOps. With over 4.5 years of relevant experience, he has worked extensively in the field of Computer Vision and Image Processing. Currently working as an MLOps Engineer at Quillbot, Harsh is responsible for designing and building pipelines for machine learning models. Harsh's previous experience includes working as a Computer Vision Engineer at Uncanny Vision, where he focused on developing computer vision applications for people analytics on edge and cloud devices. He worked on optimizing yolos, custom classifiers for Nvidia and Intel, and building and designing pipelines that process images from surveillance cameras. Additionally, he was responsible for analyzing the information given by the pipeline and inferring many things like heatmap of detections, line crossing of an object, etc. Harsh also worked on Python binding in C++ and automation testing of the pipeline on videos of different scenarios, which communicate with the pipeline for checking the result of the videos, which will be integrated in CI/CD. Harsh's education background includes a Bachelor's degree in ICT from the Institute of Engineering and Technology, Ahmedabad University. He has also gained experience in Java and Android development, and has a strong grasp of Deep Learning concepts. Harsh is a Computer Vision enthusiast and is always looking for new ideas to work on. He is a quick learner and has a passion for problem-solving. With his strong technical skills and experience, Harsh is well-equipped to take on new challenges in the field of Software Development, Computer Vision, and MLOps.