I am a researcher, engineer, data scientist, systems thinker and problem solver all rolled in to one, with a broad portfolio of business impact built upon a strong theoretical training. I work on problems around decision-making within complex systems operating in uncertain environments. I create models and mechanisms that help solve learning, reasoning and planning problems encountered by individuals and organizations alike. This includes worrying about how data and knowledge is captured, represented, organized and instrumented to be readily available to automated systems built to assist us as we go about making decisions or doing "things" that we need to do in the course of our personal and professional lives. Methodologically, this includes data-science tasks such as exploratory data analysis, data mining, predictive modeling, NLP, causal reasoning, etc. And finally, it also includes design-thinking and data visualization.While building AI/ML tools for "intelligent"​ systems of the present and the future, a guiding principle in my work is to temper the aggressive tendencies at large to mindlessly and inappropriately automate (read: reduce cost) at the expense of quality and societal well-being.My applied work is complemented by theoretical research that spans a wide range of topics including statistical inference over probabilistic graphical models; performance evaluation of computer systems and communication networks; stochastic control for resource allocation problems; and business analytics. In addition to all things "data-science", I have a broad background and interest in combinatorial & stochastic optimization; operations research; design & analysis of algorithms for networks, switches & queuing systems; digital communication, information theory and signal processing.