Cupertino, California, United States
Driven by a deep passion in machine learning, pattern recognition, mathematics (with a focus on numerical optimization), computer vision, and image processing, I chose to pursue a corporate career after earning my PhD. My goal is to apply cutting-edge innovations from these fields to develop products that enhance people's lives. After gaining several years of experience as a software engineer, I transitioned into leadership roles—first as a tech lead, and then as an engineering manager. In these roles, I have built and managed engineering teams, led large cross-functional projects, and shipped products ranging from safety-critical automotive components to the world’s most popular cameras.
Lead an international team of 24 SW-engineers (Germany & India) and 2 PhD students responsible for camera calibration (target-based, online, and stereo), ego-motion estimation, and the imaging pipeline (e.g. exposure control, noise reduction, color reconstruction, ...).
Developed an internal numerical linear algebra library for embedded automotive applications. Supported teams with adopting the library and optimizing their code. Implemented an on-device method for target-based and online (while driving) camera calibration.
Implemented and optimized voxel and network operations for UltraVis, a high-performance volume rendering system (https://doi.org/10.1145/353888.353901).