Working as a machine learning engineer in Google Cloud AI's Vertex AI Search team. Responsibilities include design and execution of live and offline experiments to introduce new features to reranking models and incorporating novel uses of LLMs to our products.

Worked as an SDE 1 in Prime Video's Playback Optimization team. Served as a key contributor and eventual leader in launching a Closed Loop System (6-dev team) that automatically promotes and generates optimized playback experiences for millions of Prime Video customers (200M weekly sessions and counting) through machine learning. Regularly collaborated with Applied Scientists to design and ship improvements to Adaptive Bitrate Streaming algorithms to ensure high Quality of Service for Prime Video customers with fluctuating network conditions, and partnered closely with individual platform teams to ensure high QoS across all devices

Participated in Augmented/Virtual Reality and Computer Vision research in a group led by Serge Belongie. Hand-picked by the university as one of 10 undergraduate students to participate in the annual Cornell Tech Summer Research Experience. Currently working on ViewFindAR - Synthesizing 6DoF camera angles of objects in 2D monocular RGB images on AR Headsets.

Served as an undergraduate TA for CS 4820 - Intro to Analysis of Algorithms, taught by Prof. Eva Tardos. Responsibilities included grading exams and problem sets and hosting 15 hours of office hours, in close collaboration with undergraduate and graduate student TAs.