Professional Overview
I am an ML engineer and researcher with a background in applied mathematics, computer science, and astrophysics. I have industry experience at Yandex, where I worked on ML pipelines and model evaluation, and research experience in deep learning for scientific applications, particularly radio astronomy and VLBI. My interests include machine learning for science, domain adaptation, uncertainty-aware methods, and inverse problems. I work primarily with Python, PyTorch, SQL, Docker, and Linux, and I enjoy taking ML ideas from experimentation to practical implementation.
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
