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PhD, Computer Science

• Advised by Dr Ali Butt, a professor at Virginia Tech, leading Distributed Systems and Storage Lab at Virginia Tech

Masters, Computer Science

• Advised by Dr Ali Butt, a professor at Virginia Tech, leading Distributed Systems and Storage Lab at Virginia Tech

Bachelor of Computer Software Engineering

Research Assistant at Distributed System and Storage Lab at Virginia Tech

• Contributed to Metis project ongoing which is about improving the cachability of the deep learning workloads
• Led collaborative research with Analytics & AI Methods at Scale Group at Oak Ridge National Laboratory (ORNL) on analytically recognizing the behavior of the users and jobs submitted to HPC systems to improve the I/O efficiency of the HPC systems.
• Leading a collaborative research with Analytics & AI Methods at Scale Group at Oak Ridge National Laboratory (ORNL) and Lawrence Berkeley National Laboratory aiming to study and resolve the I/O and memory contention between interfering training/inference jobs for large AI models (LLMs specifically) in HPC in collaboration with Jean Luca Bez, Ahmad Maroof Karimi, Arnab Kumar Paul and Suren Byna

Student Assistant at NERSC, Lawrence Berkeley National Laboratory (LBNL), internship

• I investigated the causes of I/O hotspots in HPC applications and analyzed common performance issues. Specifically, I examined Drishti, an HPC I/O recommendation tool, and found it generates many false positive warnings. In future work, I plan to address these inaccuracies, enhance Drishti's ability to provide more reliable I/O optimization recommendations, and improve its capacity to predict job performance based on suggested configurations.

Student Assistant at Lawrence Berkeley National Laboratory (LBNL), internship

• Worked on I/O variance characterization resulting from the interfering HPC workloads under the supervision of Suren Byna and Jean Luca Bez.

Instructor

• Taught CS3214, Computer Systems, at Virginia Tech in Fall 2022 and Spring 2023

Internship at Oak Ridge National Laboratory, Analytics & AI Methods at Scale Group.

• Supervised by Feiyi Wang, Sarp Oral, Ahmad Maroof Karimi and Arnab Kamur Paul
• First studied the literature on I/O characterization at the application level to get insights for building an application and user-aware I/O scheduler
• Then collected I/O information of different users and different applications, and showed the user’s behavior affects the I/O performance quite a lot
• And finally, presented my work at the Internship Symposium held for the interns who joined the national lab in the summer 2021

• Was awarded travel support by USENIX for USENIX FAST'24 conference in Santa Clara, CA, US
• Had a poster at IPDPS24 PhD forum about our I/O interference characterization project with Berkeley Lab (LBNL). I was also awarded travel support by TCPP for IPDPS24.

• Being appointed as the student volunteer for SC23 hosted in Denver, CO, US

• Being appointed as the student volunteer for SC22 hosted in Dallas, TX, US