Indrayana Rustandi is a seasoned professional in the field of machine learning and quantitative research, currently serving as a Staff Machine Learning Engineer and Staff Quantitative Researcher at Coinbase since August 2021. Prior experience includes roles at Citi from January 2016 to August 2021, where Indrayana worked as a Credit Flow Quant and Equity OMM Quant, focusing on portfolio trading of corporate bonds, fixed income ETFs, and enhancing data-driven business practices. Indrayana's career also features positions as a Research Scientist at J E Moody & Company LLC, a Quantitative Developer in Commodities Quantitative Analytics at Barclays Capital, and technical roles at Sun Microsystems, along with internships at Abridge Inc and Sun Microsystems. Indrayana holds a PhD in Computer Science from Carnegie Mellon University and a BS in Computer Engineering from Columbia University in the City of New York.
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