Summary
Varia Smolianova is a senior Computer Science student at Stony Brook University specializing in Data Science and AI, actively pursuing entry-level full-stack or backend software engineering roles. With an academic foundation that also includes physics studies at Novosibirsk State University, she brings strong analytical rigor and cross-disciplinary problem-solving to software projects. Though early in her software career, her profile reflects an unusual blend of physics-trained quantitative thinking and modern AI/data skills. Based in New York, she is positioning herself for roles that bridge data-driven modeling and production-ready systems. Her GitHub notes graduate study at Columbia, suggesting ongoing advanced training and a commitment to deepen expertise. Energetic and curious, she aims to translate academic research and data insights into robust software solutions.
13 years of coding experience
Physics, Physics at Novosibirsk State University (NSU)
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Stony Brook University