Johannes Pirker

At EfficientIO, I have been responsible for the design and implementation of a role-based access control system (RBAC) with support for fine-grained permission control.

I designed a new event-driven architecture (EDA) for machine learning models, enabling efficient predictions from over 300 models processing more than 20 million datapoints daily.

My work included the design of Kubernetes native networking and a preview deployment system leveraging GitHub Actions to deploy frontend project previews with custom domains on a Kubernetes cluster.

Additionally, I led the migration of a large Vue front-end application from Vue 2 to Vue 3 and spearheaded refactoring efforts to introduce the Composition API.

Developed web applications, APIs, and Windows Services using Microsoft SQL Server, C#, and React as part of the Data Solutions team.

I lead the affort the rewrite an internal application using ASP.NET and React.

My work also included fixing bugs in legacy applications developed using ASP.NET MVC and VueJS. Developing tables and views, as well as writing stored procedures for a Microsoft SQL server was also part of my job.

Developed and maintained various analysis tools in Excel (including VBA development) with a focus on structural FX management.

Addionally I helped out with creating PowerPoint presentations or small ad-hoc analysis.

Assisted second-semester students in preparing for their exams.

Served as an emergency medical technician at the Vienna Red Cross.

During my master's, I specialized in Data Science applications in Finance, SmartCity, and Healthcare.

I developed end-to-end solutions for data analysis, visualization, and prediction, which were deployed in the cloud for automated processing.

My master's thesis focused on the prediction of energy consumption.

During my BigData specialization, I created a data-analytics pipeline using various Apache products and processed data further with Python, analyzing it through Elastic Search.

My bachelor's thesis focused on the prediction of stock prices using neural networks.

Volunteering as emergency medical technician on some weekends