With over two years of experience as a Full-Stack Engineer at Google, I leverage my PhD in Computer Engineering and my expertise in crowdsourcing and human-computer interaction (HCI) to develop and implement web applications and solutions that enhance user experience and engagement. I use Java, AngularJS, TypeScript, and other technologies to build a task management system that enables external contributors to process user feedbacks from 1) search results and 2) generative AI search responses. The processed results were used to ensure the correctness of the knowledge graph and improve the search generative AI modelBefore joining Google, I spent seven years as a Research Assistant and a Teaching Assistant at Purdue University, where I conducted cutting-edge research on HCI, crowdsourcing, and human computation. I published multiple papers and web applications that analyzed and visualized data from over 2,000 users, demonstrating my skills in statistical data analysis and front-end development. I also taught advanced C programming to more than 500 undergraduate students, showcasing my communication and leadership skills. I am passionate about applying my skills and knowledge to contribute to the advancement of technology and science.
Listed skills include Python, Javascript, Html, Sqlite, and 16 others.