About me

I’m a PhD student in Computer Science at Florida State University, where my research focuses on high-speed interconnects for HPC and AI/ML workloads. My work explores how software-defined networking (SDN) and local router intelligence can improve routing efficiency and mitigate congestion in large-scale systems. My research interests includes Network Interconnect, Adaptive Routing, Communication Optimization and MPI.

I am honored to be advised by Professor Xin Yuan. I completed my undergraduate from Tribhuvan University, Nepal where my undergraduate research advisor was Professor Subarna Shakya. You can see my publications in the publication tab or at google scholar for my most recent publications.

Key highlights of my research include:

✅ Developing SDN-based adaptive routing strategies for Dragonfly topologies

✅ Enhancing UGAL routing with accurate local latency estimation

✅ Applying deep learning for congestion-aware routing, matching and outperforming traditional adaptive schemes

I’ve contributed to simulators like Booksim, CODES, and SST, and my work has been published at venues like SC, ICS, and CCGRID.

🛠️ Tools & Tech: Python, C/C++, MPI, CUDA, OpenMP, PyTorch, TensorFlow, SDN, SST, CODES, Booksim I’m excited about pushing the limits of interconnect design for the next generation of AI and HPC systems.

I enjoy Soccer, Basketball, Chess, and Traveling during my free time.

[CV] [google scholar]

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