Ahmed Mohammed
AI/ML Engineer & Entrepreneur
Who I Am
Building the Future
As Founder of Faultrix, I built an AI-powered SaaS for construction quality control. The platform analyzes building photos and generates ÖNORM-compliant technical reports in under 1 minute — with SHA-256 evidence chain, DSGVO compliance, and AES-256 encryption.
Featured Projects
From research prototypes to production systems — here's what I've been building
Industrial Anomaly Detection
End-to-end pipeline integrating YOLO and diffusion models for industrial quality control at PROFACTOR GmbH
OOD Detection Framework
Novel approach using conditional diffusion models as generative classifiers for robust out-of-distribution detection
Faultrix
AI-powered construction quality control SaaS — photo to ÖNORM-compliant report in under 1 minute. Features SHA-256 evidence chain, DSGVO compliance, and AES-256 encryption.
EEG Signal Classification
Deep RNN architectures (LSTM, Bi-LSTM, GRU) for motor imagery classification in brain-computer interface applications
Professional Journey
Faultrix
Founder & Full-Stack Developer
Leading development of AI-powered construction analysis platform with cutting-edge machine learning architecture
Co-founded NormKI → built Faultrix as the technical product
JKU Machine Learning Institute
ML Researcher
Conditional Diffusion Models as Generative Classifiers for Out-of-Distribution Detection
PROFACTOR GmbH
Machine Vision Researcher
Achieved 98.4% accuracy in industrial defect detection using YOLO
Karunya University
AI Research Intern
Implemented and compared RNN/CNN architectures for EEG motor imagery classification with hyperparameter optimization
Freelance
AI & Programming Tutor
Providing tailored training in Python, ML, and Deep Learning. Mentoring on portfolio projects and GitHub best practices
LED-Zone
Electronics Technician
PCB assembly, test processes, and QA standards. Developed test scripts and diagnostic procedures
Research & Publications
Master's Thesis
"Conditional Diffusion Models as Generative Classifiers for Out-of-Distribution Detection"
Designing class-conditional diffusion frameworks with improved sampling efficiency (~15% improvement)
View Research PosterManuscripts in Preparation:
Technical Skills
Machine Learning
Tools & Frameworks
Full-Stack & Web
Infrastructure
Education
Master of Science in Artificial Intelligence
Johannes Kepler University, Linz
Oct 2020 - Mar 2026
Thesis: Conditional Diffusion Models as Generative Classifiers for Out-of-Distribution Detection
Bachelor of Mechatronics Engineering
Eastern Mediterranean University, Cyprus
Feb 2015 - Jan 2018
Graduation Project: SCARA Robotic System for Dynamic Object Tracking