Data Scientist
Hi, I’m Alex! I’m a Data Scientist with a background in physics and over 4 years of research and industry experience in machine learning, software development, and large-scale data analysis. I hold an M.Sc. in Physics & Astronomy from the University of British Columbia, where I developed high-performance Python pipelines for large scientific datasets. My work focuses on machine learning, large-scale data processing, and building reliable data pipelines. I’ve worked on projects ranging from scientific data and spatial analysis to the development of production ELT workflows, automation tools, and client-facing analytics in industry. I enjoy working at the intersection of science, data, and real-world impact. I’m always excited to connect with people working in AI, data science, and research.Cognano Inc., Toronto
Leading development and evaluation workflows for large-scale AI/ML systems and contributing to research initiatives including an ICLR 2026 workshop submission.
Validere Inc., Toronto
Built production data pipelines, monitoring systems, automation tools, and ML solutions for Oil & Gas clients.
University of Toronto
Developed AI/ML pipelines supporting clean-energy research using PyTorch and Scikit-Learn.
University of British Columbia
Conducted large-scale image analysis, HPC processing, and science-policy research projects.
University of British Columbia
Taras Shevchenko National University of Kyiv