I completed my Ph.D. in Electrical and Computer Engineering at UC Santa Barbara (UCSB) as a member of the OPUS Lab advised by Prof. Camsari. You can access my doctoral dissertation here after the embargo period.
I spent my research time developing full-stack probabilistic computing systems by doing the following:
Take challenging optimization and machine learning problems.
Find ways to map and implement them using a probabilistic computer.
Translate these algorithms down to scalable platforms combining emerging devices with CMOS.
Ph.D., Electrical and Computer Engineering, UC Santa Barbara (UCSB)
M.S., Electrical and Computer Engineering, UC Santa Barbara (UCSB)
B.E. (Hons.), Electrical and Electronics Engineering, Birla Institute of Technology and Science, Pilani, India
Device-circuit co-design with sMTJs and CMOS
Designing and prototyping probabilistic circuits
Analog/RF and digital ASIC design (Cadence, Spice, Verilog)
Heterogeneous probabilistic systems integrating sMTJs with FPGAs
Diffusion model and LLM hardware-software co-design
Physics-informed diffusion and energy-based ML models
Efficient LLM inference and hardware-aware Monte Carlo
