Jun 2022 – May 2023 · 11 mos · San Francisco Bay Area

• Founder Fellowship(ODF14 cohort)

Feb 2020 – May 2022 · 2 yrs 3 mos · Menlo Park, California

• Led multiple data collection and data annotation projects in computer vision space, such as saliency, face detection, object detection on both images and video datasets. One is open-sourced as EgoObjects
• Led a project on few-shot object detection, launched the project into production and published the result on CVPR2022
• Mentored PhD research intern, SWE intern on various projects related to open-world detection and few-shot object detection and resulted in a few top conference publications.
• Helped the company conduct coding and AI design interviews.

May 2019 – Aug 2019 · 3 mos · Menlo Park, California

• Developing Deep Embedding Learning models at Visual Relevance Team in Search Ranking.

Feb 2019 – May 2019 · 3 mos · Arlington, Texas

• Working on image synthesis with Adversarial AutoEncoder, and Generative Adversarial Networks, using TACC supercomputer.

Feb 2019 – Apr 2019 · 2 mos · San Francisco Bay Area

• Worked on Text Detection and Chinese Optical Character Recognition.

Jun 2018 – Sep 2018 · 3 mos · Santa Clara, CA

• NVIDIA AI. Focused on survey of semantic segmentation, instance segmentation. Proposed a semi-supervised neural network for the semantic segmentation.

Jun 2017 – Aug 2017 · 2 mos · Rome, New York

• Worked on video analysis. Mainly object detection, object tracking and behavior understanding.

Aug 2015 – Dec 2017 · 2 yrs 4 mos · Dallas/Fort Worth Area

• Worked as teaching assistant on classes: Introduction to Algorithms, Discrete Mathematics, Signal
• Processing and Programming in C.