I’m a research scientist and CUDA C++ developer with a strong background in designing and implementing massively parallel algorithms that address some of the most challenging, hard-to-parallelise problems. Since more than 6 years, I am putting all my focus and effort into leveraging GPUs as a general compute platform to meet the throughput and latency requirements of performance-critical systems.
Currently, I work on autonomous systems at Argo AI. Prior to joining Argo AI, I was working as a Backend Engineer at OmniSci (formerly MapD), a Bay Area startup working on a GPU-accelerated data analytics platform. I received my PhD in Computer Science from Technical University of Munich with summa cum laude (high distinctions).