Experiences

Ph.D. Summer Intern, Lawrence Berkeley National Lab, ESnet   –   June - August 2021

  • Supervisor: Dr. Inder Monga, Mentor: Dr. Ezra Kissel
  • Deployed a deep learning approach to automate the dynamic auto-tuning of pacing rate in DTNs
  • Developed kernel level system & traffic control operations in DTNaaS docker container.
  • Integrated a supporting tool that can dynamically visualize the elastic search data for real-time parameter optimization.

Peer Mentor, Lehigh University (NSF-REU) 2020 (CNS-1757787)  –   May - August 2020

  • Mentoring and closely guiding 15 NSF-REU Interns on their respective site projects.
  • Duties included: Weekly one-on-one discussions with each intern, understanding their fallouts and helping them out with their codes and other low level academic issues.

Research Assistant, Resilience Research Group for SARS-CoV-2  –   June - August 2020

  • Supervisor: Dr. Brian D. Davison
  • Image Gathering for face-masks in United States.
  • Designing a novel face-mask detection algorithm for a survey research on SARS-CoV-2.
  • Funded by Lehigh Research Grants and partially funded by (NSF-1841338)
  • Supervisor: Dr. Brian Austin
  • Developed scripts to fetch and analyze terabytes of data from the SLURM scheduler.
  • Analyzed & estimated real-time queues in the scheduler for optimizing the policies for incoming jobs.
  • Developed three real-time policies that potentially improved the allocation procedure.
    • Draining
    • Job Cancellation
    • Job Pausing
  • Developed a facial recognition and verification system using Google’s FaceNET research as the baseline.
  • Added additional OpenCV features on top of it, which can differentiate between 3-D and 2-D images.
  • Designed a purely browser-based RSA compliant module to work with FIDO keys.