Supervisely
Maxim Kolomeychenko, PhD has extensive experience in the field of machine learning and AI. Maxim is the Founder and CTO of Supervisely, a machine learning platform that enables the development of custom computer vision products. In this role, they supervise the entire machine learning pipeline, including the creation of training data, data transformation, and the training and deployment of neural networks.
Prior to their role at Supervisely, Maxim was the Founder and CTO of Deep Systems. In this role, they provided consulting services and end-to-end solutions in Deep Learning and AI. Maxim built a highly skilled machine learning team that managed the entire development cycle, from R&D to production deployment. Deep Systems helped customers implement AI solutions tailored to their specific business needs.
Maxim Kolomeychenko, PhD, began their education in 2008 at Bauman Moscow State Technical University where they pursued a Bachelor's degree in Computer Science. Maxim successfully completed this degree in 2010. Following that, from 2010 to 2014, they attended the Higher School of Economics, focusing on Computer Science and obtaining a Master's degree. Maxim'sacademic journey continued when they joined the Institute for Systems Analysis of Russian Academy of Sciences in 2014 to pursue a Doctor of Philosophy (PhD) in Computer Science. Maxim completed their doctoral studies in 2017.
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Supervisely
Supervisely platform covers entire R&D lifecycle for computer vision. It allows to interate from image annotation to neural networks training 10x faster: (1) organize image annotation / data management / manipulation within a single platform at scale(2) integrate custom NNs or user pretrained models from Model Zoo, perform/ track / reproduce tons of experiments(3) use data science workflows out of the box: upload new data and continuously improve the accuracy of your neural networks(4) combine different neural networks together into single pipeline with post processing stages and deploy these pipelines as API(5) utilize NNs to speed up image annotation process: platform has trainable SmartTool, supports Active Learning and Human in the Loop