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Hi, I'm k0nze! 👋

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:

  • ️⚡ 5+ years of Verilog programming and FPGA synthesis
  • 🤖 4+ years in Deep Neural Network applications
  • 👨‍💻 4+ years of C/C++ programming for high-performance computing and embedded devices
  • 🐍 4+ years of Python programming for scientific analysis
  • 🦀 Starting to appreciate Rust

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 Tübingen.

Find me elsewhere 🌍

[LinkedIn] [YouTube]

k0nze.dev

Konstantin Lübeck's Projects

float_to_fixed_point icon float_to_fixed_point

Little programs for the conversion of floating point numbers to fixed point numbers on the command line.

pybind_example icon pybind_example

🐍 Example project showing how to create a Python package with a pybind11 backend

read_png icon read_png

Example program on how to read PNGs in C.

tvm-vta icon tvm-vta

Open, Modular, Deep Learning Accelerator

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