I am a former Ph.D. student in Computer Science at the Graduate School and University Center of The City University of New York.   I successfully defended my dissertation entitled "Multithreaded Constraint Programming and Applications" on April 15,1999 and received my Ph.D. May 28, 1999.  My research was supported through several fellowships and grants sponsored by the Graduate School and Brooklyn College, where I was an Assistant Researcher and Lab Manager at the Logic Based Systems Lab.  In addition, for the Fall 97 & Spring 98 semesters I was an Adjunct Lecturer at Brooklyn College, teaching courses in "Advanced C Programming Techniques" and "Computer Organization". 

Currently I am the Chief Technology Officer of a hedge fund in Greenwich, Connecticut. My career has been focused on software development of scalable fault tolerant enterprise level applications, data warehousing, business intelligence reporting and distributed and parallel computing for improving scalability and performance of computationally intensive applications.

My tenure at the fund began as Director of Operations IT where I was responsible for the design and development of applications for the Operations team. This included building applications to optimize and automate operational business processes as well as building an enterprise data warehouse and firm wide business intelligence reporting. Later I also assumed the responsibility as software development manager for the Principle Finance Business and was appointed the firm IT Architect.

Prior to joining the fund, I spent over four years at Banc of America Securities. My last role was as a Principal responsible for the Global Reporting Team for the various credit derivatives businesses. This included the design and development of applications and reports for both the front and middle offices that where used by hundreds of users. Prior to that role I was a Vice President and senior developer for the credit businesses’ Risk Engine Team. This included building an application that was responsible for producing various risk and P&L attribution numbers for the Structured Credit Products and Global Credit Products businesses.