Summary
Ananda Samajdar is a research staff member at IBM with a decade of experience designing low-power SoCs and machine learning accelerators. He holds a PhD from Georgia Tech, where he worked on neuromorphic accelerators and co-designed a microswitch-based lightweight interconnect for deep learning hardware. His background spans industry and academia, including engineering roles at Qualcomm and internships at ARM and Microsoft, giving him practical RTL, power-intent, and system-integration expertise. At Qualcomm he owned top-level Verilog for multiple Snapdragon SoCs and developed automation scripts, while his research emphasizes efficient accelerator microarchitecture. Based in New York, he blends hands-on silicon engineering with cutting-edge ML hardware research—a combination that helps translate theoretical accelerator ideas into implementable RTL and system-level designs. Notably, his trajectory shows a rare continuity from embedded driver work and SoC power integrity to leading research on neuromorphic and ML accelerator interconnects.
10 years of coding experience
8 years of employment as a software developer
Higher Secondary, PCM with computer science, 90%, Higher Secondary, PCM with computer science, 90% at Raisina Bengali Senior Secondary School, Mandir Marg
Doctor of Philosophy (Ph.D.), Electrical and Computer Engineering, Doctor of Philosophy (Ph.D.), Electrical and Computer Engineering at Georgia Institute of Technology
Bachelor of Technology (B.Tech.), Electronics and Communications Engineering, 9.01/10, Bachelor of Technology (B.Tech.), Electronics and Communications Engineering, 9.01/10 at Indian Institute Of Information Technology
English, Hindi, Bengali