Industry experience: Designed and implemented a recommendation system that allows users to discover relevant content; parallelized algorithms using the Hadoop Map/Reduce framework; wrote scripts to process user data for an abuse detection prototype task, trained a linear model with thousands of features, and used model to detect user accounts that were likely to be abusive; wrote several scripts and Map/Reduce code that collects, processes, and analyzes terabytes worth of user data Grad school experience: Developed efficient reinforcement learning algorithms for motor control problems; improved the learning performance of policy search methods by leveraging an agent's sensor data; used these algorithms to optimize controllers for partially observable Markov decision processes with continuous parameters; learned good controllers for a simulated dart throwing problem and for a simulated quadruped robot locomotion task Specialties Skills: Java, C/C++, Python, PHP, Hadoop Map/Reduce, PIG, Lisp, Shell scripting, Matlab, Open Dynamics Engine, SD/FAST, Unix Coursework: Statistical learning theory, Combinatorial algorithms and data structures, Linear programming, Knowledge representation, Probabilities and random processes, Linear systems theory, Computer vision, and Natural language processingread more ...read less ...
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