Andrii Faschilin

Machine Learning Engineer with over 1.5 years of experience in designing, developing, and deploying AI-driven solutions. Work involves Large Language Models (LLMs), Deep Learning architectures, Graph Neural Networks (GNNs), Classical Machine Learning algorithms, and Time Series analysis.

Has participated in projects across domains such as FinTech, Media, and Scientific Research, applying AI methods to address domain-specific challenges.

Passionate about bridging the gap between cutting-edge research and practical applications, with a focus on optimizing models for efficiency, ensuring robustness in production environments, and integrating advanced AI capabilities into scalable systems.