Krishnan is a data scientist at Twitter. He was formerly a risk quant at Bank of America, an associate at Goldman Sachs, and an engineer at Sun Microsystems. His experience in building the real-time proprietary trading system WebET at Goldman Sachs, and concurrent Scala systems to compute the conditional value at risk of large credit portfolios at BAC, have put him in good stead at the Revenue Quality team at Twitter. His primary tools are Scala, Scalding and a dash of statistics and math. He has graduate degrees in math, computer science and mathematical finance from the University of Chicago.