About

I'm deeply rooted in technology, and I have had the chance to wear multiple hats in the industry with equal fervor. Got my Bachelor's in Electronics and Automation Engineering from ULPGC, before doubling down with a Master's in Biomedical and Biomechanical Engineering at Vilnius Tech. Engineering isn't just my background — it's my operating system and how my brain is wired. I attack every problem with that engineering mindset - methodical, stubborn, sometimes annoyingly precise.

Background

My software engineering journey has been anything but conventional — from research assistant at VGTU before diving into DevOps and infrastructure engineering, evolving into my role as Software Engineer in the Performance and Scale for AI Platforms team at Red Hat, where I proudly contribute as part of the Red Hat community alongside exceptional talent who share my commitment to open source values.

Beyond the resume bullets, I thrive on cracking complex software engineering problems related to AI, performance and distributed systems, as well as digging into how systems actually work. When I'm not deep in code, I'm exploring new places, throwing weights around at the gym, or swimming in the pool. Architecture and design thinking get me genuinely excited.

My research roots are in hyperspectral imaging for ML tools and computer vision for telerehabilitation. Since I discovered them, I'm obsessed with distributed systems, optimizing AI performance, and pushing the boundaries in HPC and cloud computing. I'm constantly looking for ways to make meaningful impact across different fields.

I bring both the analytical mindset of an engineer and the collaborative approach of a team player. Years of working with diverse teams have sharpened my communication and leadership abilities, making me more than just a technical resource.