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Galina Printsypar

Galina Printsypar, Senior Machine Learning Engineer



Professional Overview



Galina Printsypar is a seasoned Senior Machine Learning Engineer with a proven track record of delivering innovative solutions in the field of artificial intelligence and machine learning. She specializes in developing cutting-edge machine learning models and algorithms to drive business value and solve complex problems across various industries.

Experience Summary



Current Role



Galina currently serves as a Senior Machine Learning Engineer at Groundtruth AI, where she is responsible for designing, developing, and deploying advanced machine learning models to help clients achieve their strategic objectives. In this role, she leverages her extensive expertise in natural language processing, computer vision, and predictive analytics to drive business impact and deliver meaningful insights.

Career Progression



Prior to her current position, Galina held various roles at HSBC, where she made significant contributions to the company's financial crime prevention efforts. As a Senior Manager in the Future Analytics team, she led the development of AI-powered solutions to enhance the bank's compliance capabilities, resulting in improved detection rates and reduced operational costs. Earlier in her career, Galina worked as a Research & Analytics Analyst, where she developed innovative analytics models to identify patterns and trends in financial crime data.

Galina also has extensive experience in academic research, having served as a Postdoctoral Research Assistant at the University of Oxford and a Research Scientist at the Weierstrass Institute. During these roles, she conducted groundbreaking research in the field of applied mathematics, with a focus on optimization algorithms and their applications in various domains.

Academic Background



Galina holds a Ph.D. in Applied Mathematics from the King Abdullah University of Science and Technology (KAUST), where her research centered on the development of efficient numerical methods for solving large-scale optimization problems. She also holds a Master's degree in Applied Mathematics from the University of Oxford.

Areas of Expertise



  • Machine learning model development and deployment

  • Natural language processing and computer vision

  • Predictive analytics and forecasting

  • Optimization algorithms and their applications

  • Financial crime prevention and compliance analytics

  • Agile project management and cross-functional collaboration


Professional Impact



Throughout her career, Galina has made significant contributions to her field, including:

  • Developing AI-powered solutions that improved financial crime detection rates by 20% at HSBC

  • Authoring several peer-reviewed publications in prestigious academic journals, contributing to the advancement of optimization research

  • Delivering impactful presentations and thought leadership at international conferences, sharing her expertise with the broader community

  • Mentoring and supporting junior team members, fostering a culture of continuous learning and innovation


Conclusion



Galina Printsypar is a versatile and accomplished Senior Machine Learning Engineer who seamlessly combines her technical expertise, industry knowledge, and problem-solving skills to drive transformative change. With a strong background in both industry and academia, she is well-positioned to continue making significant contributions to the field of artificial intelligence and machine learning, helping organizations achieve their strategic objectives and unlock new avenues for growth.