CV
Education
- B.S. in Computer Engineering, Tribhuvan University, 2012-2017
- Ph.D in Computer Engineering, Stevens Institute of Technology, 2019- 2023(expected)
Work experience
- Summer 2020: Research Internship
- Brookhaven National Labrotrary
- Duties included: Accelerating machine learning model for hardware simulation. Accelerated model inference upto 78x and made the simulator scalable.
- Supervisor: Dr. Lingda Li
- Summer 2019: Research Internship
- Lawerence Berkeley National Labrotrary
- Duties included: Worked on scalable triangle counting on GPUs. Awarded graphchallenge championship in IEEE HPEC 2019.
- Supervisor: Dr. Xiaoye Sherry Li
- Spring 2019- Present: Research Assistant
- Stevens Institute of Technology
- Duties included: Machine Learning, Graph Computing, Algorithms and HPC with GPUs
- Supervisor: Professor Hang Liu
Skills
- Programming Language: C/C++, CUDA, Python
- Designing machine learning model, optimized application for specific hardware
- Algorithms, Hardware-Software co-design
Publications
Talks
Deanonymizing cryptocurrency with graph learning: The promises and challenges
Conference proceedings talk at IEEE CNS 2019, Washington DC
C-SAW: A Framework for Graph Sampling and Random Walk on GPUs
Conference proceedings talk at SuperComputing 2020, Virtual
Teaching
Paper Review
- Conference on Networking, Architecture, and Storage (NAS 2019)
- IEEE Big Data
- TPDS
Service and leadership
- Currently signed in to 43 different slack teams