AI Engineer & C# Developer

Erfahrener Software-Ingenieur mit Erfahrung in Architektur, Design und Entwicklung verschiedener Produkte, einschließlich Desktop-Anwendungen und Videoanalyse-Lösungen. Kennt sich mit Microsoft-Plattformen aus und interessiert sich für Videoanalyse, Heimautomatisierung, maschinelles Lernen und Robotik. Leitung von Projekten in React/net6 und CI-Pipelines, mit Erfahrung in C#, .NET, React, Python, C/C++ und mehr. Ausgeprägte Kenntnisse in der Videoanalyse, einschließlich Echtzeit-Bildverarbeitung und Objekterkennung.

Senior Software Developer Led React/net6 based project from creation to deployment on test environment. Introduced peer reviews using merge requests to developers from different teams. Created manuals for setting up new repositories, pipelines, and code analyzers to boost repeatability. Tech stack included C# 10, net6, .Net 4.6.1, React (mui5), NUnit, GitLab, Mongo DB, REST, CI/CD (GitLab).

Software Dev Staff Engineer Took over CI/CD pipelines and cloud environments (Azure VMs). Created new unified logging adapter with support for cloud logging services. Assisted with architecture enhancements and training of team members. Tech stack included C# 7, .Net 4.7, NUnit, Git, PowerShell, MS SQL, SharePoint, SharePoint Online, CI/CD (Azure DevOps).

Tech. Arch. Delivery Sr. Analyst Prepared infrastructure using er containers. Delivered missing modules in Python and node.js. Tech stack included er, PostgreSQL, Kafka, Python, node.js.

Software Engineering Analyst Led transition from TFS to git repositories including CI/CD transformations. Trained the team on new workflow and technologies. Prepared architecture for new automatic update functionality. Tech stack included C# 7, netcore2.0, WPF, WCF, WebAPI2, TPL, PowerShell, TFS, Git, Visual Studio 2019, Windows Server (AWS hosted), RabbitMQ, MS SQL Server, CI/CD (Azure DevOps).

Software Engineering Associate Led integration of Intel accelerator (FPGA, Movidius stick) with OpenVINO toolkit to boost performance of deep learning modules. Introduced modules for image processing with hardware acceleration using C/C++, cython, bash, Python. Tech stack included C# 7, .NET 4.7.1, netcore2.0, mono 5, MS Test2.0, WPF, C++/CLI, REST, Threads, TPL, Fakes, PowerShell, Node, JavaScript, bash, TFS, Git, Visual studio 2017, Visual Studio Code, SOAP, Linux, Windows, MacOS.