Sudarshini Tyagi is a Vice President and surveillance engineer at Goldman Sachs with a decade of experience building big data systems and machine learning-driven detection pipelines to combat fraudulent trading. She holds an MS in Computer Science from NYU Courant with a focus on Statistical Machine Learning and Deep Learning, and has contributed to academic publications and a handbook on statistical analysis in medicine. At Goldman Sachs she progressed through analyst and associate roles into leadership, applying production ML to high-stakes financial surveillance. Beyond finance, she has led student social-impact initiatives—presiding over NYU CS+Social Good and onboarding new chapters for TechShift Alliance—demonstrating a consistent interest in socially responsible technology. Colleagues describe her as curious and rigorous, equally comfortable translating research into operational systems and mentoring cross-functional teams.
10 years of coding experience
4 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at New York University
Air Force school bidar
Bachelor of Engineering (B.E.) Computer Science, Bachelor of Engineering (B.E.) Computer Science at RV College Of Engineering
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Sudarshini Tyagi - Vice President at Goldman Sachs