What is your expertise in AI/ML?

I specialize in computer vision, anomaly detection, and diffusion models with expertise in PyTorch, YOLO, and production ML systems. I achieved 98.4% accuracy in industrial defect detection at PROFACTOR GmbH.

What services do you offer?

I offer AI/ML consulting, computer vision solutions, custom model development, and production deployment. Currently focusing on AI-powered quality control systems through Faultrix.

What industries do you work with?

I work primarily with manufacturing, construction, and industrial automation sectors, specializing in quality control, defect detection, and process optimization.

How can I contact you for a project?

You can reach me via email at ahmed.mo.0595@gmail.com, through LinkedIn at linkedin.com/in/ahmed-3m, or via the contact section on my portfolio.

Ahmed Mohammed

AI/ML Engineer & Entrepreneur

Years Experience

98.4%

Defect Detection

15%

Efficiency Gain

Get In Touch View Projects

Who I Am

Building the Future

As Founder of Faultrix, I'm building AI-powered tools for construction quality control. Our platform takes building images, analyzes them, and produces professional technical reports that meet legal and regulatory standards—turning hours of documentation into minutes.

AI/MLComputer VisionFull-Stack DevelopmentProduct Strategy

Featured Projects

Industrial Anomaly Detection

End-to-end pipeline integrating YOLO and diffusion models for industrial quality control

98.4% AccuracyReal-time

YOLODiffusion ModelsPyTorchOpenCV

OOD Detection Framework

Novel approach using diffusion models for robust out-of-distribution detection

15% Efficiency GainResearch

Diffusion ModelsPyTorchStatistical Analysis

EEG Signal Classification

Deep RNN architectures for brain-computer interface applications

Motor ImageryBCIs

LSTMBi-LSTMGRUTensorFlow

Professional Journey

Jul 2025 - Present

Faultrix

Founder & Full-Stack Developer

Leading development of AI-powered construction analysis platform with cutting-edge machine learning architecture

(NormKI Co-Founder & Full-stack dev.)

Dec 2024 - Present

JKU Machine Learning Institute

ML Researcher

Conditional Diffusion Models as Generative Classifiers for Out-of-Distribution Detection

Apr - Nov 2024

PROFACTOR GmbH

Machine Vision Researcher

Achieved 98.4% accuracy in industrial defect detection using YOLO

Aug - Oct 2023

Karunya University

AI Research Intern

Implemented and compared RNN/CNN architectures for EEG motor imagery classification with hyperparameter optimization

Jan 2021 - Present

Freelance

AI & Programming Tutor

Providing tailored training in Python, ML, and Deep Learning. Mentoring on portfolio projects and GitHub best practices

Dec 2018 - Sep 2020

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 Poster

Manuscripts in Preparation:

Technical Skills

Machine Learning

CNNsLSTMsAutoencodersGANsDiffusion ModelsYOLOSelf-Supervised LearningOOD DetectionAnomaly Detection

Tools & Frameworks

PythonTensorFlowPyTorchOpenCVScikit-learnNumPyPandasMATLAB

Infrastructure

DockerMLflowCI/CDGitREST APIsMLOps

Education

Master of Artificial Intelligence

Johannes Kepler University, Linz

Oct 2020 - Present

Thesis: Conditional Diffusion Models as Generative Classifiers for Out-of-Distribution Detection

Advanced Deep LearningProbabilistic MLComputer VisionReinforcement Learning

Bachelor of Mechatronics Engineering

Eastern Mediterranean University, Cyprus

Feb 2015 - Jan 2018

Graduation Project: SCARA Robotic System for Dynamic Object Tracking

Let's Build Something Amazing

I'm always interested in discussing AI/ML challenges and opportunities

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