A MACH-certified SaaS company, empowering retailers to create highly effective and fully-customizedmobile native apps. The project is the development of web and mobile e-commerce solutions that arecustomized to create a stronger brand, sell more products, deepen customer loyalty and deliver highlyrelevant content.Accomplishments:• Developed and integrated multiple backend infrastructures facilitating communication between theFront-end and Customer APIs (iOS/Android to OCAPI Salesforce, Shopify, Magento, etc.).• Optimized the category caching algorithm for Algolia Search Service.• Enhanced communication efficiency between the BE application and the customer's OCAPI API,specifically for retrieving color swatches on PLP (Product Listing Pages).• Provided guidance and mentorship to fellow developers, including trainees, juniors, and full-stackdevelopers with a primary focus on front-end development.• Actively engaged in communication with customers, business analysts, and architects.C#, .NET 6, Entity Framework Core, MS SQL, Redis, Cosmos DB, MongoDB, Docker, Microservices,Kubernetes, REST API, OCAPI API, MS Azure (Event Grid, App Services, DevOps), Postman, Charles,Swagger, GitHub

Vertafore offers a family of connected technology and information solutions for the insurancedistribution channel. During the work on the project, there have been implemented SSO functionality fordifferent projects of Vertafore and several services have been migrated from MS Azure to AWS. Also,there have been integrated big number of third-party services and developed new internal servicesAccomplishments:• Spearheaded, developed, and facilitated the migration of multiple services from Azure to AWS inroles as Team Lead and Software Architect.• Resolved a critical production bug reliant on RabbitMQ, rectifying issues stemming from incorrectasynchronous and multithreaded usage.• Carried out responsibilities as a Team Lead, overseeing and coordinating various team activities.• Led the implementation of Single Sign-On (SSO) protocols.• Directed the migration of password processes from the database of a specific product to theActive Directory of the company as a crucial component of the SSO implementation.• Decentralized several services and segments of a monolithic system into microservices, enhancingscalability and performance.Technologies and tools:C#, .NET 6, .NET Framework, .NET Standard, Quartz.NET, WCF, Entity Framework, ASP.NET CoreIdentity, MS SQL, Redis, DynamoDB, PostgreSQL, Graylog, Dynatrace, RabbitMQ, AutoFac, Docker,LDAP, OData, OAuth 2.0, OIDC, SSO, JWT, Microservices, AWS, SOA, GitLab

WEB-project related to a brief analysis of the inspection, simulation of events, calculation of risks,based on the inspectorate oil and gas pipeline database. With stages of Development as PoC,Prototype and MVP.Accomplishments:• Orchestrated Risk Assessment and Segmentation within the pipeline calculations• Engineered a function to determine population density, road networks, housing, bodies of water,and more using the OpenSteerMap API, subsequently creating a fixed open-source library.• Created simulation models for handling various incidents.• Integrated segment functionality into Google Maps.• Constructed an Admin Panel with robust authorization mechanisms.• Engineered a comprehensive Service Desk accessible to all customers, ensuring successfulconnections with each client.• Established a robust System of Backups for data security and recovery.• Designed an import system into the Database adhering to the PODS Standard, facilitating seamlessdata transfers from another Database.Technologies and tools:MS SQL, SQLite, TeamCity, .Net Standard, .Net Core, XML, Docker, DevExtreme, Entity Framework, WEBAPI, ASP.NET MVC, JavaScript, jQuery, Ocelot, IIS, PHP, MySQL

Desktop application as the primary tool for analysts in the oil and gas inspection industry. There wereimplemented Risk Assessment and Segmentation of pipeline calculation using Multithreading andAsynchronous operations, implemented function of founding population density, number of roads,houses, bodies of water, etc. using OpenStreetMap API and fixed open-source library. Also, there wascreated a package for the auto-generation of Word and Excel reports by the template with special tags.It can be used in any solution in the background thread.Accomplishments:• Implemented Risk Assessment and Segmentation of pipeline calculation used Multithreading andAsynchronous operations.• Implemented function of founding population density, number of roads, houses, bodies of water,etc. with using OpenSteerMap API and developed fix open-source library.• Created package for auto-generation Word and Excel reports by template with special tags. It canused in any solution in background thread.• Refactoring and successful improve performance lot of legacy code and graphs based on SciChart.Technologies and tools:SQLite, TeamCity, .Net Framework, WPF, XML, SciChart, DevExpress, Entity Framework, Word\ExcelInterop

The core project goal was support of web API, which received data from a projectile in a pipe while itspassing of a special tracker.Accomplishments:• Resolved CultureInfo discrepancies, rectifying incorrect front-end displays.• Rectified model mapping issues, ensuring accurate data transfer from Tool Tracker to thedatabase.• Repaired TCP connections on the server side, enhancing stability and reliability.Technologies and tools:C#, JavaScript, .NET Core, ASP.NET MVC, ASP.NET Web API, Entity Framework, MS SQL, IIS, Bootstrap

The Customer organizes e-sports tournaments for money. The core project task was to migrate theWPF application from .NET Framework to cross-platform UI and .NET Core. Avalonia UI was used asthe UI framework. The team found a way to cross-platform keyboard and mouse tracking of users.Also, there were prepared installers for macOS, Linux (RedHat and Debian-based), and Windows.Accomplishments:• Migrated WPF application from .Net Framework to cross-platform application based on .Net Core3.1 and Avalonia UI• Was found way to cross-platform keyboard and mouse tracking of user• Was prepared installers for macOS, Linux (RedHat and Debian-based) and Windows• Was prepared authorization via browserTechnologies and tools:C#, .NET Framework 4.7.2, .NET Core, Open-source C++ libraries, Avalonia UI, PostgreSQL, CMake