by Christina Sieber

Rinor Recica, the founder of Amula AI, joined the Data Science & AI program to build a deeper understanding of AI and its practical applications. Before diving into AI, he completed two apprenticeships: first as a Production Mechanic and then as an Computer Scientist in Application Development. Those early technical experiences laid the foundation for his problem-solving skills, but when he started working more with AI, he realized he needed a deeper understanding to confidently tackle real-world projects. From landing a major client in the U.S. to creating AI agents, he shares how the course gave him the knowledge and confidence to bridge the gap between business strategy and technical execution.
What originally motivated you to join Constructor Nexademy? Was there a specific goal or moment that pushed you to make the decision?
Since I started doing more AI-related work, I came to the conclusion that I have to develop some kind of knowledge and base to talk about expertise and understand topics better. The biggest moment was when I hit a new client in America, where we started to build out an AI agent for him. This is where I thought: now I need to have a more clear understanding of all of this.
How would you describe your experience during the program?
The experience was very good. I had a lot of interesting talks with the teachers, very competent teachers. Most of it is listening and learning new skills, new topics but I think the most interesting part are the talks with the teachers.
What challenged you the most, and what surprised you?
I think the biggest challenge in general was the load of information but when you document everything, everything is always there to grab so everything can be retrieved again. You can always look back on the information so even that challenge became pretty easy to manage. I think the biggest surprise was the amount of depth you can go into in just six months.
Which skills or projects from the program have been most valuable in your (new) role?
In my role as a founder I need to be clear or at least have a full understanding in various different topics. I need to have at least a basic understanding of everything and the project or the program itself gave me that specific thing the best or the most. Knowing that I can understand the developers and I can understand what they are talking about and how they want to build it up and even get after the code and check it out to understand how it is built just makes the customer experience way better since I do most of the calls and the talks with customers.
How has your career or personal life changed since completing the program?
I think my personal life didn't change a lot; just my business life changed. Since I can be looked at as more competent and I can understand my field even better and more detailed now.
What kind of final capstone project did you work on and what was the result?
My final Capstone project was an MVP version of an AI agent we are building for a client from America. The agent is a digital copy of him and I just built out a very MVP-type version of it where I didn't get into much depth. It was more interesting for the client to have a first look at the whole build and how it's really going to function without any frontend development.
What advice would you give to someone who is considering taking the same step?
You just have to be clear with your goals. If you have a clear understanding of where you want to go and what is your initiative, then this is very helpful. If you as a person don't know if you want to understand more from data science or AI, it won't really make too much sense for you but if a person is trying to understand this field more and wants to know more about this specific topic, AI LMS, racks, databases, and so on and so forth. This is perfect.
By combining hands-on projects, expert guidance, and real-world problem solving, Rinor transformed his curiosity about AI into tangible skills that now directly enhance his work and client impact.