I am passionate about RISC-V architecture, VLSI design, semiconductor systems, embedded systems, and AI-driven technologies. My interests focus on bridging hardware innovation, research, and real-world applications.
I served as a mentor for the Slippers2Sat Earthquake Precursor Detection Mission (EPDM), which focuses on detecting possible earthquake precursors using Quad-Mag technology and noise-reduction techniques to analyze electromagnetic wave patterns.
The mission utilizes a 1U boomless CubeSat platform to monitor Ultra-Low Frequency (ULF) and Extremely Low Frequency (ELF) signals that may indicate anomalies in Earth’s magnetic field before seismic events. The Slippers2Sat 1U CubeSat was successfully launched from Hunan, China.
This project also aims to empower and uplift Nepal’s marginalized and indigenous Chepang community through technology and scientific engagement.
I led a machine learning project focused on the recognition and classification of fresh and rotten fruits using the YOLO (You Only Look Once) algorithm.
This project combined computer vision, machine learning, and web technologies to create practical solutions for agriculture and food quality assessment, helping bridge the gap between technology and agriculture.
Currently, I am designing and verifying a 5-stage pipelined RISC-V processor. I am strongly interested in:
- RISC-V Architecture
- FPGA
- VLSI Design
- Digital IC Design
- ASIC Flow
- Verification and Physical Design
- Semiconductor Systems
- ASIC Design Flow (OpenROAD / OpenLane/Librelane)
- Timing Analysis & Physical Design
- ASIC Architecture & Verification
- FPGA testing
- Open-source silicon
- FPGA
- RISC-V ecosystem
- Chip design and fabrication
- AI hardware and embedded systems
- Space technology and scientific research