Hi, I am
Emin Abdurahmanov
Embedded Systems & Full-Stack Developer
I'm currently pursuing the European Master on Embedded Intelligence Nanosystems Engineering (EMINENT) at the University of Siegen, after completing a Bachelor of Computer Science at UEHS in Warsaw. I have worked as a Full-Stack Developer before, but my focus is now on Embedded Systems and Nanotechnology, with a strong curiosity about Cybersecurity. I am open to student positions or internships.
My Portfolio
A few projects across embedded intelligence, web, and hardware.
Hardware-Accelerated DL with VTA
Optimizing and deploying Deep Learning models onto FPGA-based hardware accelerators using the Versatile Tensor Accelerator (VTA) framework for real-time applications.
- FPGA
- Deep Learning
- VTA
Efficient Human Activity Recognition on Memory-Constrained Smartwatches
TinyML study deploying CNN, LSTM, Hybrid CNN-LSTM and DeepConvLSTM models on the Bangle.js 2 smartwatch (256 KB RAM, 1 MB Flash) for real-time activity classification across the HANG Time-HAR, PAMAP2 and WEAR datasets.
- TinyML
- CNN
- LSTM
Error Correction Codes Below 28 nm — Literature Review
Semiconductor Electronics Design literature review on adaptive Error Correction Codes (ECC) for sub-28 nm memories, covering soft errors, multi-cell upsets and automated management of ECC features across chip revisions.
- Semiconductors
- ECC
- Reliability