Neuton.AI
Danil Zherebtsov has a diverse work experience in various industries. In 2007, they worked as a Tender Sector Specialist at Peter Gaz LLC. From 2008 to 2009, they served as the Project Executive Director at PromServiceStroy LLC. In 2009, they joined Stroygazmontazh LLC and held multiple roles such as Chief Specialist, Head of Production and Technical Division, and Head of Production and Economic Planning Division. From 2008 to 2017, they founded and worked as the Founder and Financial Director at TEKRentService LLC, a heavy construction equipment rental startup. In 2012, they started working at GSP Offshore (Grup Servicii Petroliere S.A.) as the Head of Business Development Department in RF and later became the Deputy General Director of the Moscow Branch. Between 2015 and 2018, they worked as a Data Scientist on various projects. In 2018, they joined ECommPay as a Senior Data Scientist and later moved to Bell Integrator, where they held the roles of Senior Data Scientist and Head of Machine Learning & Analytics. Currently, since 2019, they serve as the Head of Machine Learning and Analytics at Neuton.
Danil Zherebtsov began their education at Umatilla High School in Florida, USA, from 1999 to 2001. Afterward, they enrolled in the Academy of National Economy under the Government of the Russian Federation, where they pursued two degrees. From 2002 to 2007, they completed a degree in Management, Economics, and Project Management. During the same period, they also obtained a degree in Translation of Professional Communication. In 2006, they attended the Study Center BKS to learn the basics of stock trading.
Later, Danil furthered their education in the field of data science. In 2015, they completed a course in Data Science at MITx. In 2017, they enrolled in CaltechX to pursue further studies in the same field. Alongside their formal education, they have obtained various certifications from different institutions. These include certifications in Convolutional Neural Networks and Structuring Machine Learning Projects from Coursera. Danil also holds certifications in Python programming, web development, object-oriented programming, data visualization, and more, from Udemy. Additionally, Danil has a certification in Basic Offshore Safety Induction Training (BOSIET) from Falck Training Center in Amsterdam.
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Neuton.AI
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Neuton.AI – a no-code Tiny ML platform. Neuton.AI was designed to help users automatically build extremely Tiny ML models of optimal size and accuracy, and embed them into any microcontroller, even with 8-bit precision. Neuton's models are extremely compact. Up to 1,000 times: • smaller • have fewer coefficients • demonstrate faster inference in comparison to TensorFlow and other frameworks. Evaluate benchmarks https://neuton.ai/frmwrk#benchmarks Our team of data scientists has created a unique neural network framework Neuton, which is the “brain” of our platform. The framework is based on the neuron-by-neuron model creation principle which allows users to • automatically create models of optimal size and accuracy • avoid any manual search for neural network parameters • exclude the need for model compression, quantization, and pruning after its creation • build incredibly compact models, ready for embedding into microcontrollers Neuton models maintain all original characteristics, without any reduction of accuracy. Neuton does not reduce the model size after its creation. Read about our framework: https://neuton.ai/neural-network Use our service absolutely free of charge Build your first extremely tiny ML model with Neuton to make your edge device intelligent: https://login.neuton.ai/