Hidayath Ansari

I'm in the Customer Trust and Partner Support organization at Amazon; my team works on ensuring a flawless order and post-order experience for customers. More specifically, I primarily work on supervised and semi-supervised machine learning methods to improve the accuracy, consistency, and speed of expert-intensive processes. I also work on unsupervised learning and transfer learning for application to problems on my team. Previously, I graduated with a PhD in Computer Sciences from the University of Wisconsin-Madison. My research work as a whole was themed around machine learning, applications to real-world data, and in particular, unsupervised learning. Over the course of my graduate career I worked with both large and wide datasets, from brain scans to proteins to text and other application domains. I enjoy doing exploratory data analysis and developing tractable-time algorithms that are able to process large data sets and get useful information out of them. I have a strong undergraduate background in computer science from the Indian Institute of Technology, Bombay. I taught courses at UW-Madison on Data Structures and Algorithms, C++, and Compilers. I am very comfortable programming in C++, Java, and MATLAB. I have also worked on web applications and am proficient with Python, PHP, and MySQL.