I am the Head of Software at Oivi, a medical devices startup currently focused on making early detection of diabetic retinopathy more accessible and affordable. I manage the SW department (8-15 people, covering firmware, backend, frontend, cloud and computer vision), working closely with upper management and the heads of other deparments to properly align company goals with development and improve cross-team collaboration. I also manage the Intellectual Property Rights (IPR) portfolio. Before my current role, I was a Senior Applied Scientist for computer vision tasks for about 2 years.
Prior to that, I spent about four and a half years at Aeolus Robotics, where I owned features from specification to delivery and coordinated across teams to ensure agile development. I also performed algorithm development and testing, as well as hardware-software integration, for robot perception, grasping, motion and reactive planning. I have also led tech demos for investors, as well as knowledge transfer workshops for other developers on how to work with the robots. Additionally, I have performed technology scouting duties at international robotic conferences.
During my PhD studies I performed research on retinal image registration and modelling, and before that I worked as a software engineer in Scientific Games and Nokia Siemens Networks
PhD in Cognitive Vision and Robotics
University of Crete (Greece)
MSc in Systems, Control and Robotics
KTH Royal Institute of Technology (Sweden)
BSc in Telecommunications Engineering
UPM Technical University of Madrid (Spain)
Camera facilitating access to immediate diabetic retinopathy screening
Autonomous service robot for assistance in elderly care facilities
REtinal Vascular Modelling, Measurement and Diagnosis European Project
Simulator to transform images and videos into the three main types of color blindness
Master thesis focusing on scene segmentation via Kinect
Maze robot for a university project
Bachelor thesis on calculating sound signals on any point of a room