We are a growing team of passionate tech enthusiasts, including members with machine learning Ph.D.s (and dropouts), experienced engineers, and business professionals from all over the world. When we realized that the technology our CTO built during his Ph.D. could accurately complete most annotation tasks at least ten times faster than traditional methods, we saw an opportunity. Two brothers dropped out of their Ph.D. programs at top universities to found SuperAnnotate. We work hard to make annotation tasks as fast and accurate as possible so you can focus more on building your computer vision models with the highest detection accuracies.
Tigran completed his MBA degree at the American University of Armenia in 2014. He has over 10 years of experience in Marketing and worked at various VC-backed startups leading their marketing activities. Tigran has a strong passion for discovering and building scalable marketing channels that help the companies grow their leads and revenue.
Sharek specialises in creating and scaling operations processes and teams with 10+ years of experience in Operations Management, Supply Chain Management, and Business Development. As the CEO of Acme AI, he created the first data labeling company for computer vision in Bangladesh, and was key to multiple partnerships with global data labeling platforms. Before that, he was the Country Director of LaborVoices Inc., where he set up the management team for Bangladesh, and rolled out countrywide operations supporting LaborVoices' technology for creating a platform for on demand supply chain analytics of global apparel brands.
Ming-Ming Cheng is a professor with the College of Computer Science, Nankai University, leading the Media Computing Lab. He received his Ph.D. degree from Tsinghua University in 2012 and then worked with Prof. Philip Torr in Oxford for 2 years. His research interests include computer vision and computer graphics. He has published over 60 papers in leading journals and conferences, such as IEEE TPAMI, ACM TOG, IEEE CVPR, etc. Many of his algorithms have become quite popular in the community, receiving more than 19,000 paper citations. He received several research awards including ACM China Rising Star Award, the IBM Global SUR award, etc. He is a senior member of the IEEE and on the editorial boards of the IEEE TIP.
Michael Aday has 20+ years experience developing products and ecosystems at fortune 100 companies, including Microsoft and Hewlett Packard, and three of his own startups (all three were acquired). He has always had a passion for Computer Vision, AI, and Machine Learning and is incredibly excited about SuperAnnotate’s ability in dramatically increase the efficiency of annotation. As VP of Partnerships at SuperAnnotate he is building win-win partnerships with influential companies and communities in the CV space.
Our team is here to help