cv

Education

  • Expected 2023
    Ph.D.
    University of South Carolina
    • Working on Visual-Inertial Odometry for Autonomous Underwater Vehicles
    • Resilient SLAM for challenging environments such as underwater

Experience

  • May-August 2022
    Research Engineer Intern
    Meta Inc.
    • Designed algorithm for multi-session localization using sparse point cloud alignment
    • Evaluated the drift in anchors, which serve as local persistent coordinate frame, due to localization error during multi-session operation
  • 2017 - now
    Research Assistant
    University of South Carolina
    • Developed algorithm for 3D mapping of underwater structures using Visual-Inertial data from GoPro
    • Designed real-time deep learning-based pose estimation framework for Underwater Autonomous Vehicle using only synthetic images
    • Evaluated and compared the performance of ten different visual-inertial state estimation algorithms in the underwater domain
  • 2017 - 2020
    Instructor/Teaching Assistant
    University of South Carolina
    • Taught ”Introduction to Computer Concepts” to 50+ students which introduces students to the Python programming language
    • Graded assignments/projects/exams and helped students for various computer science courses

Open Source Projects

  • 2021-2022
    gopro-ros
    • Extract synchornized visual-inertial data from GoPro videos in rosbag format.
  • 2019-2020
    Deep Underwater Localization
    • Deep learning based 6D pose estimation framework for relative AUV localization.