Summary
Mayank Barad is a Senior Software Engineer based in Hillsboro, Oregon with six years of experience building low-level systems, CI infrastructure, and hardware-accelerated signal processing tools. He has driven performance and cost improvements—implementing parallelized Python test runners that yielded 5x speedups and recreating premium CI features in-house—while also synthesizing FPGA images and resolving JTAG timing issues in lab settings. His research work includes an FPGA accelerator for quantum postprocessing that cut compute cost by 94% versus GPU and an ultra-low-power MSP430-based sensing system that achieved micro-watt operation and 0.001 °C resolution. Comfortable across embedded firmware, Python, RTL, and ML workflows, he mentors students and leads reproducible projects visible on GitHub/GitLab, and even highlights a practical interest in three-phase induction motor systems in his repos.
6 years of coding experience
2 years of employment as a software developer
High School Diploma, High School Diploma at High Technology High School
Master of Science - MS, Computer Engineering, Master of Science - MS, Computer Engineering at Rutgers University–New Brunswick