I spent twelve years at Morgan Stanley, a Wall Street investment bank. Much of my work there was related to the development of proprietary software for automated and algorithmic trading systems and risk management systems.

Over the years, I developed software for reliable high-speed messaging, pub-sub messaging, parallel I/O processing, desktop- and web-based UI development, XML processing, service discovery, entitlements management, and grid computing. I also led development teams for systems that managed algorithmic order execution, smart order routing, dark liquidity pools, exotic derivatives trading, time-series analysis, and backtesting of trading strategies.

New York City Partner In Education Certificate

• Promoted to the highest ranking title of Managing Director in 2008
• Promoted to Vice President in 5 years and Executive Director in 2 years
• Technology Knowledge Share (Teaching) Award
• Leadership and Excellence in Recruiting Award
• Contributions to the Morgan Stanley Franchise Award
• Chair of the Technology Architecture Committee

Carnegie Mellon University

MS, PhD, Machine Learning

Coursework:
• Machine Learning; Mathematical Statistics; Statistical Machine Learning; Advanced AI; Data Mining; Planning, Execution and Learning; Time-Series Analysis; Hierarchical Bayesian Models; Real-world Algorithms

University of Pennsylvania - Wharton

MBA, Finance and Entrepreneurship

Coursework:
• Foundations of Leadership; Entrepreneurship and Venture Initiation; Entrepreneurial Leadership; Management of People in Organizations; Management Communications; Ethics and Law of Business
• Managerial Economics; Economic Analysis and Public Policy; Competitive Strategy; Strategic Planning and Control; Marketing Strategy; Marketing Program Design
• Financial Analysis; Corporate Finance; Investment Banking; Investment Management; Mathematical Modeling; Financial Derivatives; International Finance; Venture Capital

University of California at Berkeley

BS, Electrical Engineering and Computer Science

Coursework:
• Algorithms and Computational Complexity; Operating Systems; Programming Languages and Compilers; Relational Databases; Software Engineering; Machine Architecture and Digital Design
• Various College of Engineering core courses and electives

Research