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An application for a global South African data aggregator. Igor personally created the architecture and developed several subsystems. He also undertook general system maintenance. Added to this, he implemented several vital changes to the system including database optimization, speeding up the admin panel, smoothing the deployment process, etc.
Read moreAn application for finding like-minded people to team up for outdoor adventures. During the development process, Igor implemented new dashboards for different types of users, created a new Role-Based Access Control System, migrated the system to a new framework to improve code stability and general performance, refactored the database and parts of the legacy code, improved the API, and took part in continuous delivery implementation.
Read moreCanadian financial aggregator platform. There were three major challenges in this project. They were: the need for a concealed user experience (usage of IP-proxy rotation over free IP lists); a security system that prevented direct real-time data scraping; and lastly, the need for heterogeneity of data coming from different sources. Igor implemented all three major system modules. These were: Data scraper, data storing module, and data analyzer.
Read moreIgor created a library that 3rd parties can integrate into their own hirings. This library provides a simple way to communicate with the Node.JS API Service. Igor was required to work in parallel with API developers, working on the basis of documentation rather than any previously implemented API. Igor implemented the library and ensured it was compatible with the current PHP version and ensured that it met the current standards for public package-manager libraries.
Read moreSouth African platform for store management. It helps to manage store internals processes and flows and implements the accounting toolset for store owners. Igor was a lead developer/architect for a major part of the system, including billing module, authentication, taxation helper, document flow system etc. PHP (Yii2), Python(Django), React.js.
Read moreIgor has planned and implemented a system for integration of deep learning Tensorflow models in web-service. The main part of this project was necessity for minimizing the working time of deep-learning machine. This demanded a highly efficient structure for AWS instances automatic managing. Python, Django, PostgreSQL, Redis, React.js, AWS.
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