Engineering solutions with hardware precision and software scale.
I am a final-year Computer Engineering student at Stanford University. My passion lies in designing and building efficient digital systems. I find absolute joy in understanding how compiler outputs map to CPU assembly, how operating systems manage concurrent threads, and how custom digital circuits are synthesized on silicon.
During my academic journey, I have specialized in real-time operating systems (RTOS), FPGA design, and machine learning pipelines. Whether writing clean assembly, optimising C++ for embedded kernels, or training deep neural networks for computer vision, I aim for clean architecture and peak computational performance.
Core Academic Coursework:
Computer Architecture
Operating Systems
Real-Time Embedded Systems
Distributed Databases
Machine Learning & Pattern Recognition
Digital Systems Design (FPGA/VHDL)
VLSI Design
Computer Networks