I'm a graduate research assistant working on latency prediction models for AI workloads executed on accelerator hardware, enabling fast optimization loops for neural network architecture search (NAS) and pre-silicon hardware evaluation.
My expertise includes:
- β‘ 8+ years of Verilog programming and FPGA synthesis
- π€ 8+ years in Deep Neural Network applications and deployment on resource constrained devices
- π¨βπ» 8+ years of C/C++ programming for high-performance computing and embedded devices
- π 10+ years of Python programming for scientific analysis
- π§ 19+ years of Linux usage and programming (I ordered my first Ubuntu 5.04 install CD directly from Canonical in 2005)
My colleagues describe me as a detail-oriented analytical thinker with a passion for learning new things. I am a team player because I enjoy tackling challenges as a group and discussing problem solutions from different angles to learn from others and share my knowledge.
I am currently working on my PhD thesis at the embedded systems group (Prof. Bringmann) at the University of TΓΌbingen.