I am currenting working at Duolingo on Learning Scaling.
Our team works on scaling content creation with LLM and providing great learning experience whatever language you speak.

For five years since 2019, I worked at Google Pittsburgh on the Shopping team.
Our team maintains the quality of the product attributes of all listings and innovates on improving a large-scale product understanding models that generates them.

I was a visiting member of the SmaSH Smart Sensing for Humans Lab at HCII Human-Computer Interaction Institute @ CMUCarnegie Mellon University.
I collaborated primarily on the GymCam project, developed a collaborative video annotation tool for building its ground truth and helped with writing utilities for signal extraction as well as exploring activity repetition counting based on various approaches.

I majored in Computer Science and Mathematics and completed a B.Phil. Bachelor of Philosophy degree at the University of Pittsburgh.
On May 28, 2019, I defended my thesis Syntharch: Interactive Image Search with Attribute-Conditioned Synthesis.
In my thesis project supervised by Dr. Adriana Kovashka, I explored using conditional GAN-synthesized images to facilitate interactive content-based image retrieval.

On campus, I used to work as a research assistant for LRDC Learning Research and Development Center in the MIPS Mobile Interfaces and Pedagogical Systems Group lab.
I also worked as an undergraduate teaching assistant (UTA) for the CS/COE 0401 CS/COE 0401: Intermediate Programming Using Java course and the CS/COE 0449 CS/COE 0449: Introduction to Systems Software course.
For UTA specific information, please view under "Teaching" tab.

I interned at Google Japan on the Google Maps personalized stream team and worked on an end-to-end feature in Google Maps Mobile during my 16-week internship in Tokyo. During the summer, I worked closely with other engineers, designers, PM/TPMs to bring my feature from an idea to a prototype and finally to a working implementation. I also went on a lot of weekends trips during my time in Japan.

I was back at Google (this time at the Pittsburgh office) for another summer as an SWE/SRE Software (Site Reliability) Engineering intern in 2017.

For my 14 weeks there, I worked with the ads policy enforcement team and researched for an effective solution for reducing the noise of a specific type of monitoring alert indicating classifier anomaly.

I worked at HCII Human-Computer Interaction Institute @ CMU Carnegie Mellon University on the TutorShop project.
Specificlly, I developed a real-time instructor-facing dashboard to visualize detector data from students and provide cognitive augmentations. Also, I designed and developed a JavaScript + Node.js framework that load and run aggregators as web workers on both front-end and back-end.
We also explored improving real-time feedback experience leveraging augmented reality (with Microsoft HoloLens).

I joined Google as an EP Engineering Practicum intern in the summer of 2016.

During the 12-week program, I worked on Play Movies and TV team, redesigned and rebuilt the new web player for Google Play Movies from scratch with AngularJS framework. Besides implementing accessibility and localization/internationalization support, I also worked with the UX team to adopt Material Design for the new player.

I am a proud member of the Pittsburgh Hacker Society , Pittsburgh's student hackathon hacker community established and ran by students from Carnegie Mellon University and the University of Pittsburgh.

In the past semester, I have attended five hackathons including PennApps, HackCWRU, Dragon Hacks, etc., and helped organizing SteelHacks, Pittsburgh's premier regional hackathon and the only one in greater Pittsburgh area sanctioned by MLH Major League Hacking.