I am a software engineer and roboticist that focuses on perception and navigation technologies. I have utilized sensors including including cameras, GPS/GNSS, INS/IMU, UWB (ultra-wideband) ranging radios, LiDAR, etc. to achieve accurate localization. I have a PhD from Stanford University in mechanical engineering with a PhD minor in computer science.
My work experience involves supporting the full life cycle of sensor utilization — from calibration and verification scripts at manufacturing end-of-line to deploying localization algorithms to tens of thousands of embedded devices.
I have developed code for the full autonomy stack including computer vision, signal outlier detection, path planning, motion control, and building localization algorithms into a stable Python package. My work has been in some of the toughest unstructured environments including in subterranean tunnels, at construction sites, and on autonomous drones.
While my work experience and PhD research focus on software development, my proficiency both professionally and personally in rapid prototype development means I have a holistic view of how mechanical and electrical design affects higher level autonomy. I thrive in interdisciplinary teams.