I'm a student at Carnegie Mellon University, pursuing a Master's of Science degree in Electrical and Computer Engineering.
I've been at a number of places, most recently working on an internship at Jump Trading, optimizing application relating to the simulations of trades.
Previously, in my undergraduate degree at the University of Illinois at Urbana Champaign, I worked in the Image and Formation Processing Group developing image restoration methodology for old film photos under mentorship of PhD student Yuqian Zhou. Some other work includes developing a workshop competition at ECCV 2020 on restoring images taken underneath an LED screen (here).
Some of my previous work has been at Microsoft, developing an framework for automated distributed system latency optimization. This work was used to reduce search times worldwide as a part of the Bing Products team.
In the summer of 2019 I was at Criteo, helping them scale up their mobile advertising branch to serve billions of impressions a day. I also have adtech experience at a startup called Manage creating campaign management tools, as well as developing new features for a supervised click model.
I have additional experience researching text summarization in electronic health records at Stanford's Boussard Lab, and phoneme recognization at UCSC's Perception and Recording Lab.
Some of my interests include computer vision, cooking Cantonese cuisine, and playing basketball.
Feel free to look at my resume or contact me through the links above.