Anna Shalaginov is a VP of Generative AI at Citi and a seasoned machine learning engineer with 10 years of experience building data-intensive systems and production ML pipelines. Fluent in Java and Python, she bridges model development, deployment, and support, having progressed from robotics engineering in Saint Petersburg to software and ML roles at Capital One and Insight Data Science. A long-time AI enthusiast and Java advocate, she founded New York AI/ML Conversations to connect practitioners and share practical advances in the field. Her background in solid state chemistry and robotics gives her a hands-on, experimental approach to problem solving that complements MIT training in data science and deep learning.
10 years of coding experience
8 years of employment as a software developer
Micromasters Data Science, Micromasters Data Science at Massachusetts Institute of Technology
Engineer’s Degree Solid State Chemistry, Engineer’s Degree Solid State Chemistry at Saint Petersburg State Institute of Technology (Technical University)
Contributions:5 pushes, 1 branch in 2 years 10 months
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