Makersite
Max Sorokin has a strong background in software development and engineering. Max recently joined Makersite in 2022 as a Senior Python Developer. Prior to that, they worked at e-bot7 - AI for Customer Service from 2020 to 2022, where they were responsible for developing Python applications to improve customer service efficiency using Artificial Intelligence. Before that, Max worked at AKTIS as a Python Developer from 2019 to 2020. Max also has experience working as a FullStack Developer at Exposit D.S. from 2015 to 2019 and as a SysOps Engineer at adMarketplace from 2017 to 2018.
From 2012 to 2017, Max Sorokin attended Yanka Kupala State University of Grodno. However, no information is available regarding the specific degree or field of study pursued during this period.
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Makersite
Makersite is a cloud-based product data management tool that helps companies manage product sustainability, cost, and compliance. Product life cycle management involves making design decisions based on multiple criteria including cost, compliance, sustainability, and risk. Unfortunately, the data and expertise required to make these decisions aresiloed. This protracts the process of innovation and increases its complexity. Today, the market solves this problem with vertical applications like PDM, ERP, CAD, EHS, SCM, etc. These mostly remain siloed due to the enormous costs of integration and keeping data synchronized. Therefore, analyses typically require exporting data to aggregation tools e.g. BI or excel before being used for analyses in specialist decision support applications. Results are typically delayed, some taking as much as 9 months, and therefore provide little support during the design process. Makersite provides results instantly and simultaneously across key product criteria.Makersite combines external and internal data sources to create a digital twin of a product in design. Artificial intelligence and its graph-based data model allow for ingesting, representing, and connecting heterogeneous data easily. Its native applications use algorithms to support analysis and decision-making based on multiple criteria simultaneously including should-costs, regulatory compliance, life cycle impacts (LCA), supply chain risk, etc. The API-first architecture allows for easy integrations into existing IT infrastructures thereby supporting systems and processes with richer, fresher, and more timely product data.This allows engineers to understand and improve their designs from the perspective of their regulatory compliance, environmental impact, supply risk, and cost of production, simultaneously. Companies can get results up to 40x faster than traditional methods while making their products better.