I am an MSc Electronics Engineering student with a background in mechatronics and intelligent robotic systems, focused on embedded systems, optimization, and real-world product development.
I enjoy working across the full development stack, from PCB design and firmware to system integration, testing, and automation.
I value structured problem-solving, documentation, and reproducibility, whether working on academic projects or personal systems.
My work ethic is centered around responsibility, curiosity, and consistency. I approach projects with the mindset of understanding things deeply rather than just making them work. I value clear communication, ownership of my tasks, and delivering solutions I can stand behind. When I face unfamiliar problems, I see them as learning opportunities and take the initiative to research, experiment, and iterate until I reach a solid result. I care about quality, long-term maintainability, and continuous improvement, both in my technical work and in how I collaborate with others.
In 2023, I took part in Formula Student East in Hungary as an Electrical Scrutineer and Track Marshal. Being involved in the event gave me a clear view of how high-level student engineering teams operate, both technically and organizationally.
When I returned to Lithuania, a friend and I realized that Kaunas University of Technology did not yet have a Formula Student team. Motivated by that experience, we decided to start one ourselves. Over the next year, we researched existing teams, built the right contacts, and worked with the university to formally propose the association, which was eventually approved by the university council.
After approval, we helped bring together around 30 students, forming the initial core of the team. Today, the project continues to evolve under new leadership as Perkūnas Racing Team KTU, with a strong focus on interdisciplinary collaboration across mechanical engineering, electronics, systems, and media.
I use AI as an engineering accelerator, not a replacement for thinking or design. In my workflow, AI acts as a technical partner that helps me move faster from idea to prototype while maintaining quality and clarity.
I primarily use AI to generate templates, reference architectures, and starting points for my solutions. This allows me to quickly explore design directions, validate assumptions, and focus my effort on system integration, optimization, and implementation details rather than starting from a blank page.
AI also plays an important role in learning and skill development. When I encounter complex or unfamiliar concepts, I use it to break them down, explain underlying principles, and highlight trade-offs. This helps me deepen my understanding and expand into new technical areas more efficiently.
Finally, AI supports me in solving problems that fall outside my immediate expertise by offering structured guidance and alternative approaches. I treat these outputs as inputs for critical evaluation, refinement, and testing, ensuring that final solutions are robust, well-understood, and tailored to real constraints.
Used this way, AI becomes a powerful tool for faster prototyping, continuous learning, and higher-quality engineering outcomes.
Over the years, my workspace has evolved significantly as I experimented with different setups, tools, and arrangements. Each iteration reflected what I was working on at the time, but also taught me what truly matters for long-term productivity and focus.
What I’ve found most effective is managing my workspace using 5S principles—assigning a clear place and purpose to every tool. This applies not only to physical equipment, but also to my digital environment. Knowing exactly where things are, and being able to access them immediately when needed, reduces friction and allows me to stay focused on solving problems rather than searching for resources.
With time, I’ve also learned that having the right tools can make complex tasks feel straightforward. At the same time, creativity plays an equally important role: a single tool, when understood well, can often serve multiple purposes. Balancing structure with flexibility has helped me build a workspace that supports both disciplined engineering and creative exploration.