In 2005, long before machine learning was an industry buzzword, Deepak invented a probabilistic machine learning method and system for managing the risks and returns of project portfolios. It is a unique framework and has been cited by IBM, Accenture and Kyung Hee University's Industry- Academia Collaboration Foundation (S. Korea). Click here to see the publication.

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Deepak leads the team at Hedged Capital LLC, an AI-first, proprietary trading, training and analytics firm founded in June, 2009 and based in San Francisco, California.

During the throes of the Financial Crisis of 2008, Deepak was in a special, one year financial advisory program at Morgan Stanley. That tumultuous year gave him deep insights into the strengths and weaknesses of investment strategies and the financial theories he had studied earlier while pursuing his Master's degree at The London School of Economics.

A couple of months after the market hit rock bottom in March of 2009, Deepak founded the firm. He relied extensively on his undergraduate education at Princeton University in Astrophysics and Philosophy for researching and developing volatility arbitrage trading strategies in real world, imperfect markets with its mercurial participants.

He also leveraged his decade long experience as a Silicon Valley inventor, entrepreneur and management consultant developing financial technologies for marquee clients such as Visa, Schwab, Federal Home Loan Bank, Silicon Valley Bank and Fimat/Societe Generale.​​

Formerly, Deepak was a Director in the Alliances and New Ventures Group at MasterCard International and a Senior Systems Analyst at Diamond Technology Partners (acquired by Pricewaterhouse Coopers).​​​