Michał Niegrzybowski

Web application for online courses and training. Made for external customers like universities.

Tech stack: Groovy on Grails, JavaScript, GORM, JQuery

Engineering Thesis, Gdańsk University of Technology, WETI

It is a completely separate microservice which based on user usage and entitlements recommends articles and forecasts to read/see. When a recommendation engine was released for the first time based on our evaluations we get more accurate hits than Netflix compared to their first release (based on articles written by them). In correlation to the recommendation engine, we also start to collect data based on user experience/engagement when reading a document (dwell time) so we could, even more, correlate user needs to recommended docs.

Stack: Java 7, Mahout, JUnit, JavaScript, SQL

Web application available also on mobile devices which contains a lot of industry-related analysis, in-depth market research and economic forecasts from over 2,000 experts.

Tech stack: C#, AngularJS, Angular 2/4/5/6, NHibernate, Dapper, NServiceBus, MachineSpecifications, Rhino.Mocks, SQL, F#

JetShop Flight is the first step towards the new Jetshop eCommerce platform. While frontend is developed by an external company, I'm in a team responsible for developing new backend based on GraphQL and ASP.NET Core.

Tech stack: ASP.NET Core, GraphQL, Dapper, FsCheck

Backoffice application to control orders and all legal documents related to cryptographic indexes on a Zurich Exchange (SIX). An application consists of around 13 microservices written in C# and F# some of the responsibilities of them were, for example, sending all documents related to index, creating orders, notification about course changes.

Stack: C# (.Net Core, Dapper, MediatR, xUnit, MongoDB, EventBus, TPL, DataFlow, Swagger, FsCheck, MongoDB), F# (.Net Core, Typeproviders, Unquote, xUnit, DataFlow, MongoDB, FsCheck), SQL (MS SQL), Docker (Kubernetess (AKS)), Azure (AKS, CosmosDB, EventBus, AppInsights).

The project is around monitoring sales representatives in real-time. So the administrator/manager/owner could have real insights about how the `sells` goes on. I am responsible for the technology which we are using and how we are using it. Beside day to day work to deliver the business quality, I reorganize projects and extract some of the microservices and create clear boundaries (ACL layers) between DTO/business logic/DB models. I try to introduce new frameworks/languages so not only my but at first my team always tries something new and fancy. Besides developer work, I am also a part of a group of people responsible for creating/assigning tasks/user stories and narrow requirements.

Stack: C# (.Net Core, Dapper, MediatR, Entity.Framework Core, xUnit, MongoDB, EventBus, TPL, DataFlow, Swagger, FsCheck, ElasticSearch, MongoDB), F# (.Net Core, Typeproviders, Unquote, xUnit, DataFlow, MongoDB, FsCheck), SQL (MS SQL), Docker (Kubernetess (AKS)), Azure (AKS, CosmosDB, EventBus, AppInsights).

My own blog which contains right now 32 posts written since August 2016. One of them was mention in official Microsoft Docs (https://www.mnie.me/2016-09-08-AzureFunctions/).

I'm one of the main contributors to the Expecto library.

I create and update a couple of .NET Core templates:
• Expecto (https://github.com/MNie/Expecto.Template)
• .Net web API for F# (https://github.com/MNie/FSharpNetCoreWebApiTemplate)
• NancyFx for F# (https://github.com/MNie/NancyFxCore)

15 official NuGet packages that are also available on GitHub (their source code).