Education
Stanford University
Master of Science, Computer Science
September 2022 - June 2024
Relevant Coursework: Machine Learning, Parallel Computing, Deep Learning for Computer Vision, Principles of Robotics, Computer Vision: From 3D Recontruction to Recognition.
Claflin University
Bachelor of Science, Computer Engineering
August 2018 - May 2022
Relevant Coursework: Algorithms and Data Structures, Operating Systems, Embedded Systems, Linear Algebra
Experience
Software Engineering Intern - Assistant Applied Perception
June 2023 - September 2023
Deployed an on-device Pathways Language Model (PaLM) variant to improve Google Assistant’s personalized query fulfillment.
Implemented a Java Android application that utilizes Android’s Accessibility Service and Media Projection library to capture screen content, the Room Persistence Library for on-device storage, and OpenCL model runners for on-device model inference.
Graduate Researcher
Stanford Vision and Learning Lab
September 2022 - March 2023
Worked on a research project focused on implicit scene representations for indoor robot navigation tasks.
Trained reinforcement learning policies to perform navigation with the Tiago robot on OmniGibson simulator scenes.
Generated a 3D reconstruction dataset consisting of RGB-D images and camera poses for indoor OmniGibson scenes.
Software Engineering Intern - Geo Auto-Moderation
June 2022 - September 2022
Developed abuse investigation dashboards used by Google Maps to identify large-scale coordinated activities by bad actors.
The dashboards efficiently display network graphs depicting connections between users with similar attributes.
Generalized dashboard SQL data source to facilitate custom edge table addition.
Made other updates which led to projected annual savings of about $180,000.
Zoom
Software Engineering Intern
January 2022 - April 2022
Developed a proof-of-concept real-time collaboration web application using AWS AppSync and Amplify.
Maintained internal web applications for the Zoom Apps platform using React and Node.js libraries.
Assisted in onboarding and early product research for a new Zoom Chat project.
Software Engineering Intern - Display Ads
May 2021 - August 2021
Reduced the deployment time for advertisement filters by decoupling them from serving binaries.
Improved metrics monitoring with a regex classifier for OS and browser attributes in ad server requests.
Lyft
Software Engineering Intern - Deploys Team
June 2020 - July 2020
Enhanced Kubernetes cluster targeting for Lyft microservice deployments.
Improved webpage used to monitor commits to a runtime configuration repository.
Automated post-incident batch deployment of backlogged commits to production servers.
Projects
Given an input RGB image, we simulate a 3D interactive experience by generating novel viewpoints to account for disocclusion.
Builds upon Single Image 3D Photography with Soft Layering and Depth-aware Inpainting (SLIDE) by Jamapani et al., 2021.
Unlike SLIDE, we outpaint the input image with a denoising probabilistic diffusion model, use a matting model to separate the background from the foreground image, and construct our meshes with the Open3D library in place of Tensorflow 3D.
Given an input RGB image, we simulate a 3D interactive experience by generating novel viewpoints to account for disocclusion.
Builds upon Single Image 3D Photography with Soft Layering and Depth-aware Inpainting (SLIDE) by Jamapani et al., 2021.
Unlike SLIDE, we outpaint the input image with a denoising probabilistic diffusion model, use a matting model to separate the background from the foreground image, and construct our meshes with the Open3D library in place of Tensorflow 3D.