Robert Preissl

Leading SW at Volley Automation

Sensor fusion

Building a world-class robotics team at Nimble.ai

Leading a team of engineers in the Apple AI/ML Machine Learning Platform & Technologies (MLPT), Advanced development team.

Kitty Hawk is a startup taking aim at creating real, usable flying cars. Its mission is to make the dream of personal flight a reality. Technical guidance and mentorship of engineers building simulation software for sensor fusion codes. Analysis of safety critical systems using structured approaches such as FMEA and guide corresponding software reliability efforts.

State estimation for Kitty Hawk’s ”Flyer” eVTOL aircraft. Sensor fusion algorithms (EKF, UKF, etc.) in C/C++, simulations through replays & scenario creation, qualify sensors (radar, laser, GPS, etc.), and collaborate with mechanical teams on sensor integration into the aircraft.

Performance optimization of existing platform services & designing and implementing new mission critical, distributed back-end services to ensure performance, growth and stability of the fastest-growing, independent ticketing and social marketing platform.

Modeling, simulation and (real-time) Big Data analytics of human-scale cortical networks using massively parallel computation techniques at the Cognitive Computing Group at IBM Research San Jose. Lead the effort for scaling neural simulation code, which successfully ran on up to 96 racks of an IBM Blue Gene/Q system comprising 98,304 compute nodes with 1.6 million processor cores and 1.6 PB of memory (Research paper presented at renown Supercomputing conference SC12, best paper candidate).

Postdoctoral researcher at NERSC (National Energy Research Scientific Computing Center) at Lawrence Berkeley National Lab.; working in collaboration with the Princeton Plasma Physics Lab on large scale gyrokinetic magnetic fusion applications.

Maximizing the performance and scalability of a large scale magnetic fusion application for the Cray XE6 technology with over 150,000 cores and a new interconnect. (Research paper presented at renown Supercomputing conference SC11, best paper candidate).