Hello
I'm Abdullah Amawi
AI/ML Engineer · HPC Researcher · Web Developer
I build production-grade systems at the intersection of machine learning and infrastructure. My research at Georg-August-Universität Göttingen focused on GPU-accelerated data pipelines and I/O optimization for large-scale ML workflows in HPC environments. Alongside research, I develop full-stack web applications, AI automation pipelines, and advise clients on technical infrastructure.
Projects
TensorRigs.com
AI Hardware & ML GPUs resource for Deep Learning, PyTorch, TensorFlow & Neural Networks. Expert guides for machine learning GPUs (NVIDIA RTX, A100, H100), deep learning systems, and AI workstations.
TensorDocs - HPC & ML Documentation
Comprehensive documentation website built with Starlight (Astro) covering high-performance computing, deep learning workflows, and ML optimization techniques.
Optimizing I/O Performance of Scalable ML Workflows in HPC Systems
This thesis investigates data-loading bottlenecks in large-scale deep learning workflows. By integrating GPU-accelerated pipelines such as NVIDIA DALI, experiments show significant reductions in training time and improved GPU utilization.
Starlight Documentation for Large-Scale Machine Learning in HPC
Additional documentation from thesis work addressing software environment issues and challenges in HPC and deep learning workloads.
Sentiment Analysis on Course Feedback
NLP project exploring sentiment analysis on student feedback from a teaching seminar. Demonstrates application of NLP concepts with reviews of key scientific papers.
University Research Group Lab Website
Research group Lab website supporting cutting-edge work in Swarm Intelligence, Wireless Sensor Networks, and Artificial Intelligence at Gottingen University.
ZombieSim
Parallelized simulation exploring HPC concepts. Combines a configurable program with a game engine for visualization, demonstrating practical parallelization techniques.