Profile

ML Infrastructure and HPC Engineer with an M.Sc. in Applied Computer Science (University of Göttingen). Thesis research, supervised by Prof. Dr. Julian Kunkel and Dr. Patrick Höhn (HPS Group, GWDG), benchmarked GPU-accelerated data pipelines (NVIDIA DALI, TFRecords, WebDataset) across PyTorch and TensorFlow in SLURM-managed HPC clusters, producing reproducible I/O performance analyses (Grade 1.8). Currently working independently on ML infrastructure consulting, GDPR-compliant self-hosted infrastructure, and AI automation engineering. Seeking roles in ML infrastructure, MLOps, HPC engineering, or research software engineering.

Education

Master of Science in Applied Computer Science

Oct. 2025 at Georg-August-Universität Göttingen, Göttingen, Germany

  • Thesis: Optimizing I/O Performance of Scalable ML Workflows in HPC Systems (GWDG collaboration, Grade 1.8), Jan. 2025 – Jul. 2025.
  • Focus Areas: Data Science, Machine Learning, Deep Learning, High-Performance Computing.
  • Selected Coursework: Practical HPC, Topics in Deep Learning, Advanced AI, Advanced Data Science, Internet Technologies, Blockchain Technology.

Bachelor of Science - BSc - Software Engineering - Top of Class with Honours

2012 to 2016 at University of Petra, Amman, Jordan

  • Graduated top of class with honours.
  • Coursework: Computer Architecture, Algorithms, Data Structures, OOP, Software Engineering.
  • Peer instructor in student-led academic support initiative, mentoring classmates in software engineering courses.

Experience

ML Engineer & Infrastructure Consultant (Freelance)

Oct. 2025 – Present, Germany (Remote)

  • Consulting on ML infrastructure, data pipeline architecture, and HPC workflow optimisation for independent clients.
  • Built and maintain a production GDPR-compliant self-hosted stack on Hetzner (n8n, Plausible, Twenty CRM, Listmonk, NocoDB, Vaultwarden) via Coolify, replacing SaaS tools with open-source alternatives.
  • Developing and publishing ML and HPC technical resources via TensorRigs.com and TensorDocs.

Graduate Research Assistant - AI/ML and Practical Computing

May 2022 – Jul. 2025 at Georg-August-Universität Göttingen, Göttingen, Germany

  • Managed GPU cluster infrastructure and software environment across PyTorch, TensorFlow, Jupyter, and SLURM for AI research and student practical courses.
  • Led operations of the AI and Swarm Intelligence Lab, overseeing student projects and the Swarm Intelligence practical course.
  • Primary technical assistant for the interdisciplinary seminar "Humans in the Age of Artificial Intelligence".

Hardware & Systems Technical Consultant

Jan. 2006 – Oct. 2021 at City Center for Computers, Amman, Jordan (Remote 2018–2021)

  • Advised business and individual clients on high-performance computing hardware selection, GPU workstation builds, and performance-optimised system configurations over 15 years.
  • Developed deep expertise in hardware architecture and system benchmarking, directly informing current HPC and ML engineering work.

Projects

Masters Thesis: HPC I/O Optimisation for ML Workflows

GWDG, Grade 1.8, Jan. – Jul. 2025

  • Designed and benchmarked data loading pipelines using NVIDIA DALI, TFRecords, and WebDataset.
  • Measured and analysed I/O bottlenecks across PyTorch and TensorFlow in SLURM-managed HPC clusters.
  • Produced reproducible benchmarks and full technical documentation of findings.
  • Supervised by Prof. Dr. Julian Kunkel and Dr. Patrick Höhn (HPS Group, GWDG).
  • View thesis PDF · GWDG research group listing

TensorRigs.com: AI Hardware and ML GPU Resource Site

Personal project, live

  • Comprehensive guide site for deep learning hardware built with Astro, deployed on Netlify with Cloudflare.
  • Covers GPU comparisons, PyTorch/TensorFlow hardware optimisation, and deep learning system selection.

TensorDocs: HPC and ML Technical Documentation Site

Personal project, live

  • Built with Starlight framework; provides HPC workflow guides, NVIDIA DALI tutorials, and GPU acceleration best practices.

Parallel ZombieSim: HPC Infection Simulator

University of Göttingen, GWDG HPC Practical Course, Sept. 2022

  • Co-developed a multithreaded C++ infection simulator on HPC cluster infrastructure.
  • Collaborated on design, implementation, and technical presentation of results.

Self-Hosted GDPR-Compliant Cloud Stack

Personal infrastructure project, ongoing

  • Built and maintain a production self-hosted stack on Hetzner VPS via Coolify, replacing SaaS tools with open-source alternatives: n8n (automation), Plausible (analytics), Twenty CRM, Listmonk (email), NocoDB, Vaultwarden.
  • Demonstrates end-to-end DevOps, infrastructure management, and AI automation engineering.

Skills

ML & AI

PyTorch TensorFlow Keras Scikit-Learn NumPy Pandas NVIDIA DALI TFRecords WebDataset MLOps Distributed Computing Data Pipelines AI Automation ML Profiling & Benchmarking Jupyter Matplotlib Seaborn Plotly

HPC & Systems

SLURM GPU Cluster Management HPC I/O Optimisation Parallel Computing (C++) Linux Bash Performance Benchmarking Technical Documentation

Programming

Python Bash C++ SQL JavaScript TypeScript Java HTML CSS

Web & DevOps

Astro Starlight Docker CI/CD Git Cloudflare Netlify Vercel Supabase Coolify Hetzner VPS REST API Integration

Research & Teaching

Scientific Research Academic Writing Technical Mentoring & Teaching Technical Writing Seminar Facilitation

Languages

English

C2 - Proficient

Native-level fluency

Arabic

Native

Mother tongue

German

A2, B1 in progress

Targeting C1 professional proficiency

Work Authorisation

Permanent long-term residence permit (Niederlassungserlaubnis), Germany. No visa or work permit sponsorship required.