Analytics
The purpose of most of my software development was, almost without exception, analytics and quantitative model-building. From ordinary optimization algorithms to “unconventional” techniques for trading models, I have very in-depth experience in datamining, machine-learning, quantitative analysis, and artificial intelligence techniques. My experience in analytics ranges from highly quantitative (support vector machines, probabilistic models, computational genomics), to heuristic (various machine learning/AI methods, rule-based systems), to highly computational (brute force parallel/distributed evaluation). Throughout the course of my career I usually have had to present the results and conclusions to colleagues, senior management, clients, or my own team for review and discussion. I have written or co-authored numerous peer-reviewed published papers, whitepapers, and large-scale internal documents. I have co-authored two patents for my analytic work, and was directly responsible for the design of specialized algorithms.
