I am currently working as a Senior Autonomy Engineer at Sea Machines, where I am developing 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).
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.
PhD in Computer Science, 2018
CUNY Graduate Center
MSc in Computer Science, 2011
City College of New York
BEng in Computer Engineering, 2009
City College of New York
ASc in Computer Science, 2003
SUNY Westchester Community College
A single-camera stereo omnidirectional system (SOS) is applied for estimating egomotion in real-world environments.
Project for Prof. Robert Haralick’s Machine Learning Course at CUNY Graduate Center. The goal was to design a labeled two class …
As part of my Research Experience for Undergraduates, I developed a Player/Stage driver and remote controller for the mobile robot.