Memi Spiridon

🤖 At the core of artificial intelligence is the drive to explore, experiment, and evolve — and that’s where I thrive.

As an AI researcher, I specialize in pushing the boundaries of machine intelligence. My focus lies in designing adaptive algorithms that don't just learn — they grow smarter over time. Whether it’s building state-of-the-art machine learning models, enhancing natural language processing, refining computer vision, or optimizing deep learning systems, I aim to bridge theory with transformative application.

Key Areas of Focus:

Experimental Research and Prototyping
Designing and running controlled, data-driven experiments to validate novel AI hypotheses and system architectures.

Algorithm Development
Creating scalable, high-performance algorithms — from traditional ML techniques to cutting-edge transformer models and neural networks.

Cross-Domain AI Applications
Applying AI in real-world settings like healthcare diagnostics, autonomous navigation, language processing, robotics, and more.

Data-Driven Insights
Gathering, analyzing, and interpreting complex data to inform transparent, explainable AI systems that make smarter decisions.

Why It Matters:

I believe that AI should be more than intelligent — it should be intentional. My work contributes to building responsible and impactful AI systems that can address some of the world’s toughest problems, from global health to automation and ethics.