About Me

Currently, I am a software engineer at Berkshire Grey (BG) working on perception technology for robotic pick cells. Prior to BG, I gained experience in the maritime domain while working as an Autonomy Engineer at Sea Machines Robotics, where I developed practical path-planning algorithms to assist the autonomous navigation of manned ships (e.g., the SM-300), and target detection & classification with monocular computer vision (AI-ris).

I worked as a Senior Robotics Engineer at Piaggio Fast Forward (PFF), where we were building the future of personal mobile carrier robots, gita.

Previously, I was a Perception Engineer at Aurora Flight Sciences, a Boeing Company working on aerospace autonomy. In 2018, I earned my doctorate degree in computer science at the City University of New York under the supervision of Dr. Jizhong Xiao at the CCNY Robotics Lab. My Ph.D thesis dissertation included research in topics of computer vision applied to robotic sensing for navigation, mobile autonomous robots and omnidirectional vision sensors. I enjoy researching science, hacking technology, and programming in any language that gets the job done, but my preferences are Python, C and modern C++. I have participated in various international events, conferences, and competitions. For instance, in 2009, I was part of the CityALIEN team, which won the Design Competition during the Intelligent Ground Vehicle Competition (IGVC), and then I led a new team in 2011. I interned at Mitsubishi Electric Research Laboratories (MERL) for a year (2016-2017) where I was able to collaborate with Dr. Yuichi Taguchi and Dr. Chen Feng on developing algorithms for SLAM (simultaneous localization and mapping) and 3D reconstruction.