Building intelligent systems at the intersection of
artificial intelligence and
autonomous robotics —
where machines learn to perceive, decide, and act.
I'm a Computer Science undergraduate from Greece with an obsession for building things that think and move. My world lives at the crossroads of software engineering, machine learning, and physical computing.
I believe the most exciting frontier is where AI meets embodied systems — robots that perceive their environment with computer vision, reason through neural networks, and act in the physical world.
When I'm not writing code, I'm probably reading research papers on reinforcement learning or figuring out how to make a Raspberry Pi do something it shouldn't.
Designing and training neural architectures that extract meaning from raw data. From CNNs for visual recognition to transformers for sequence modeling.
Teaching machines to see and interpret the visual world — object detection, semantic segmentation, real-time scene understanding with OpenCV and PyTorch.
Building embodied AI systems that sense, plan, and act. Bridging the gap between algorithms and physical hardware using embedded platforms.
Programming at the hardware level with Raspberry Pi and microcontrollers. Bringing intelligent behavior to resource-constrained physical devices.
Extracting insight from complex datasets using statistical methods, visualization, and predictive modeling to drive data-informed decisions.
Staying at the frontier of AI and robotics research. Translating cutting-edge papers into working prototypes and real-world applications.
Whether it's a research collaboration, a robotics challenge,
or just a conversation about AI — I'm always interested.