Rohit Khandekar

I advise on various topics related to algorithms, optimization, statistical modelling, machine learning and text analytics

Notes7

• Quant employment verification: CONFIRMED. He held a genuine quantitative finance role: Assistant Vice President, Quantitative Strategies at Knight Capital Group (KCG) from April 2012 to March 2017, evidenced by the S.D.N.Y. case KCG Holdings, Inc. et al v. Khandekar (1:2017cv03533) in which KCG sued him as a former 'quantitative strategist' who used and developed mathematical and statistical models ('Predictors') to predict market behavior. Knight Capital Group was a US market maker / electronic trading firm renamed KCG Holdings after the 2012 merger with Getco (a market-making and high-frequency trading firm) - a genuine quantitative employer, not merely a company with 'quant' in the name. Identity support: the LinkedIn profile rohit-khandekar-111ba819 matches the Knight Capital role and 2012-2017 timeline, the litigation names Rohit Khandekar as the former employee/defendant, and the IBM/postdoc/education history in the CV matches. Student programs, competitions and scholarships were excluded from the CONFIRMED basis.Mar 2017
• Assistant Vice President, Quantitative Strategies at Knight Capital Group (KCG), Jersey City, Apr 2012 - Mar 2017, per LinkedIn index; corroborated by the federal lawsuit KCG Holdings, Inc. v. Khandekar (S.D.N.Y.), which describes him as a 'quantitative strategist' who developed mathematical and statistical models ('Predictors') to predict market behavior.Mar 2017
• Employer classification: Knight Capital Group was an American financial firm engaged in market making and electronic execution; it merged with the electronic trading firm Getco in 2012/2013 to form KCG Holdings, a market-making and high-frequency trading firm. This is a genuine quantitative/market-making employer, not a name-only 'quant' company.2013
• Ph.D. in Theoretical Computer Science at IIT Delhi (2000-2004) on 'Lagrangian relaxation based algorithms for convex programming', advised by Prof. Naveen Garg; BTech in CSE from IIT Delhi (1996-2000, GPA 9.48/10).May 2004
• Current: Machine Learning Specialist, self-employed since Nov 2017, advising on algorithms, optimization, statistical modelling, machine learning and text analytics (LinkedIn index - index-only claim).Nov 2017
• Represented India and won a Bronze Medal at the 36th International Mathematical Olympiad (IMO) in Toronto, 1995, scoring 162 (60.9%).Jul 1995
• Postdoctoral research career before quant: UC Berkeley (2004-2005), University of Waterloo (2005-2006), then IBM T.J. Watson Research Center as Herman Goldstine Fellow (2006-2008) and Research Staff Member (2008-2012).2012
• Google Scholar author profile lists research interests in machine learning, algorithmic trading, approximation algorithms and combinatorial optimization, with ~4,484 citations (author-profile claim; treat as index/aggregator, not independent primary confirmation).2026
• Published research includes STOC 2001/2006, FOCS 2002 and ESA 2003 papers, and journal articles in SIAM Journal on Computing; PhD thesis 'Lagrangian Relaxation based Algorithms for Convex Programming Problems' (IIT Delhi, 2004).2006