Get a behind-the-scenes look at the day-to-day life of Angel Damyanov, a Senior Machine Learning Engineer at Anthill. From his passion for teaching computers to think smarter to the challenges of creating high-quality datasets, Angel shares insights into his work, his motivations, and the supportive culture at Anthill that fuels his growth. Plus, learn about the hobbies and aspirations that drive his creativity and curiosity beyond the office.

Describe your role at Anthill and what a typical day looks like for you. 

I try to start my days with a light breakfast and some physical activity. Once at my desk with coffee in hand, I start by reviewing urgent tasks and priorities. I then sync with my project team members to align on daily objectives and progress. The bulk of my day involves coding and collaborating with our product team to refine requirements and ensure we’re building the right solutions. 

Describe your job in a way that a 3-year-old would understand it. 

I teach computers how to be smart, like how you learn new things from your teachers. I give the computer homework, help it practice, and then test it to make sure it learned its lessons well! 

What was your motivation to join Anthill’s team? 

I was drawn to Anthill because it offered the opportunity to work on cutting-edge Natural Language Processing and document processing challenges – areas where I have deep expertise and passion. 

How does Anthill encourage and support you to pursue your interests? 

Anthill provides comprehensive support for professional growth through access to premium learning platforms for technical skill development. The company also invests in in-person soft skills training. What I particularly value is our culture of knowledge sharing, where team members lead internal training sessions to share expertise in various coding paradigms and best practices. 

Can you share something you are currently working on that you find particularly exciting or challenging, and why? 

One of the most challenging aspects of machine learning is creating high-quality datasets. While dataset creation might seem straightforward initially, it’s actually a complex process requiring significant human input and careful design considerations. Each small decision in the labeling process can significantly impact the dataset quality and, ultimately, the entire project’s success. Afterall, 70-90% of machine learning projects are spent to creating and curating the dataset. 

What are your future goals & aspirations?  

Working in the Machine Learning field you will see that the “tectonic plates” are shaken up every few years by new erupting ideas. The goal is to bring those ideas to market quickly and reliably while growing both my own expertise and my team’s capabilities. 

What do you enjoy doing in your spare time?  

I’m passionate about outdoor activities, particularly hiking, biking, and skiing in winter. Music is another significant part of my life – you’ll often find me enjoying live performances. 

Interested to join our team? Check out our open positions here.