Nick Kim is an AI Operations Engineer and data scientist with nine years of experience applying machine learning to finance and investment decision-making. He has built forecasting models for commodity spreads using Gaussian processes and supported data-driven venture investing at Vestigo/Link Ventures, combining domain expertise with hands-on model implementation. With an MSc in Computational Finance from UCL (distinction) and dual undergraduate degrees in Applied Mathematics and Finance, he blends rigorous quantitative training with practical product delivery. Now at Hatz AI in the NYC area, he focuses on operationalizing ML systems for real-world impact while maintaining a design-driven approach to data science. An interesting through-line: he moves fluidly between investor-facing analytics and low-level model engineering, bridging strategy and technical execution.
9 years of coding experience
3 years of employment as a software developer
Applied Mathematics (BS) Finance (BBA) Economics, Applied Mathematics (BS) Finance (BBA) Economics at University of Massachusetts Amherst
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