Meet Sanja Dimkovic, Software Engineer at the engineering hub in Niš. In her long-standing career in tackling software challenges, she’s done it all - from frontend and backend to mobile and web development.

Welcome back to your favorite blog series! In the previous part, we talked about machine learning in the cloud and presented the benefits and drawbacks. In this blog post, we continue our journey and introduce an AWS service that will be used for cleaning and transforming our training and test data.

Many engineers may ask themselves, what are the benefits and why should they use functional programming in Java. From its beginnings, best practices in Java have encouraged object-oriented programming (which is an extension of procedural programming - type of imperative programming).

It is time to introduce Nikola Orozovic, a Principal QA Engineer from Symphony Novi Sad. Coming from a Civil engineering background, Nikola discovered his passion for testing back in 2015, when he first set sail in QA waters.

As cloud services become more and more popular, the potential for building machine learning applications in the cloud also increases. In this blog post, we'll focus on Amazon Web Services (AWS) and explore how to set up a fully automated data pipeline for a machine learning application using some of these services.

The concept of the marketplace has not changed drastically over time, but the arrival of popular online e-commerce platforms such as Amazon, Ebay, and AirBnB innovated how business is done in unmatched ways.