I am a Research Scientist at United Technologies Research Center (UTRC) in East Hartford, Connecticut. UTRC is the research arm of United Technologies Corporation, a conglomerate that includes businesses that make aircrafts, engines, escalators and HVAC systems. As such, I apply decision theory and machine learning approaches to solve a wide variety of real world problems and interact with customers from very different backgrounds. The projects I work on range from Data Analytics projects that deliver immediate value to the customer to more research-oriented projects that aim to give our businesses competitive advantages down the line. Before joining UTRC, I spent a year as a visiting Research Scientist at the Living Analytics Research Center, a new joint research initiative between Singapore Management University and Carnegie Mellon University. At LARC, we addressed a number of real-world problems together with our industrial partners. I used machine learning and mathematical optimization techniques to address issues like handling the congestion of visitors at venues like theme parks and world expos and studying offline and online customer transactions for more informed marketing. Before joining LARC, I was a Research Scientist in the Distributed Systems Group at BBN Technologies, Cambridge, MA. I was the Technical Lead on a project where we used and enhanced distributed constraint optimization algorithms to address the issue of how a distributed system should utilize a set of (limited) resources to fulfill Quality of Service and security requirements. I was also involved in a number of proposal writing and business development activities. I received my PhD from the University of Massachusetts, Amherst in 2011 with a thesis entitled "Exploiting Structure In Coordinating Multiple Decision Makers". I was in the Multi-Agent Systems Lab under the supervision of Prof Victor Lesser. My thesis work was in the area of decentralized sequential decision-making under uncertainty. Within the framework of Dec-POMDPs, I studied the issue of how multiple decision makers share information to better carry out a task and how they maintain beliefs about each other in the absence of full communication.